modelId
stringlengths 5
139
| author
stringlengths 2
42
| last_modified
timestamp[us, tz=UTC]date 2020-02-15 11:33:14
2025-09-12 00:41:42
| downloads
int64 0
223M
| likes
int64 0
11.7k
| library_name
stringclasses 555
values | tags
listlengths 1
4.05k
| pipeline_tag
stringclasses 55
values | createdAt
timestamp[us, tz=UTC]date 2022-03-02 23:29:04
2025-09-12 00:40:24
| card
stringlengths 11
1.01M
|
|---|---|---|---|---|---|---|---|---|---|
crystalline7/80244
|
crystalline7
| 2025-08-19T21:58:51Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:58:49Z |
[View on Civ Archive](https://civarchive.com/models/105393?modelVersionId=113058)
|
lautan/blockassist-bc-gentle_patterned_goat_1755639114
|
lautan
| 2025-08-19T21:58:44Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"gentle patterned goat",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-19T21:58:41Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- gentle patterned goat
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
ultratopaz/39163
|
ultratopaz
| 2025-08-19T21:58:39Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:58:36Z |
[View on Civ Archive](https://civarchive.com/models/49522?modelVersionId=54098)
|
hakimjustbao/blockassist-bc-raging_subtle_wasp_1755639097
|
hakimjustbao
| 2025-08-19T21:58:35Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"raging subtle wasp",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-19T21:58:31Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- raging subtle wasp
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
Muapi/flux-steampunk-magic
|
Muapi
| 2025-08-19T21:58:18Z | 0 | 0 | null |
[
"lora",
"stable-diffusion",
"flux.1-d",
"license:openrail++",
"region:us"
] | null | 2025-08-19T21:58:07Z |
---
license: openrail++
tags:
- lora
- stable-diffusion
- flux.1-d
model_type: LoRA
---
# FLUX Steampunk Magic
**Base model**: Flux.1 D
**Trained words**: bo-steampunk, steampunk style
## 🧠 Usage (Python)
🔑 **Get your MUAPI key** from [muapi.ai/access-keys](https://muapi.ai/access-keys)
```python
import requests, os
url = "https://api.muapi.ai/api/v1/flux_dev_lora_image"
headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
payload = {
"prompt": "masterpiece, best quality, 1girl, looking at viewer",
"model_id": [{"model": "civitai:734196@821032", "weight": 1.0}],
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
```
|
ultratopaz/58208
|
ultratopaz
| 2025-08-19T21:57:58Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:57:55Z |
[View on Civ Archive](https://civarchive.com/models/80397?modelVersionId=85247)
|
seraphimzzzz/46722
|
seraphimzzzz
| 2025-08-19T21:57:30Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:57:30Z |
[View on Civ Archive](https://civarchive.com/models/62174?modelVersionId=66712)
|
Muapi/flux.1-d-realistic-genshin-impact-cosplay-official-doujin-costume-collection-cosplay
|
Muapi
| 2025-08-19T21:57:24Z | 0 | 0 | null |
[
"lora",
"stable-diffusion",
"flux.1-d",
"license:openrail++",
"region:us"
] | null | 2025-08-19T21:57:08Z |
---
license: openrail++
tags:
- lora
- stable-diffusion
- flux.1-d
model_type: LoRA
---
# [Flux.1 D][Realistic] <Genshin Impact>Cosplay(official/doujin) costume collection|原神cosplay(官设/同人)服装集合
**Base model**: Flux.1 D
**Trained words**: A realistic photo of a tall and slender beautiful young woman in cyb-skirk cosplay costume. She is also wearing tight elbow gloves and tight thighhighs and cosplay high heel boots. She has long white hair with hair ornament. Her one hand is holding a sword.
## 🧠 Usage (Python)
🔑 **Get your MUAPI key** from [muapi.ai/access-keys](https://muapi.ai/access-keys)
```python
import requests, os
url = "https://api.muapi.ai/api/v1/flux_dev_lora_image"
headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
payload = {
"prompt": "masterpiece, best quality, 1girl, looking at viewer",
"model_id": [{"model": "civitai:863510@2053640", "weight": 1.0}],
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
```
|
seraphimzzzz/14934
|
seraphimzzzz
| 2025-08-19T21:57:19Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:57:14Z |
[View on Civ Archive](https://civarchive.com/models/15122?modelVersionId=17816)
|
crystalline7/281158
|
crystalline7
| 2025-08-19T21:56:45Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:56:41Z |
[View on Civ Archive](https://civarchive.com/models/78685?modelVersionId=352842)
|
Muapi/the-ai-colab
|
Muapi
| 2025-08-19T21:56:41Z | 0 | 0 | null |
[
"lora",
"stable-diffusion",
"flux.1-d",
"license:openrail++",
"region:us"
] | null | 2025-08-19T21:56:29Z |
---
license: openrail++
tags:
- lora
- stable-diffusion
- flux.1-d
model_type: LoRA
---
# The AI Colab
**Base model**: Flux.1 D
**Trained words**: By theaicolab
## 🧠 Usage (Python)
🔑 **Get your MUAPI key** from [muapi.ai/access-keys](https://muapi.ai/access-keys)
```python
import requests, os
url = "https://api.muapi.ai/api/v1/flux_dev_lora_image"
headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
payload = {
"prompt": "masterpiece, best quality, 1girl, looking at viewer",
"model_id": [{"model": "civitai:1285923@1261262", "weight": 1.0}],
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
```
|
seraphimzzzz/65997
|
seraphimzzzz
| 2025-08-19T21:56:35Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:56:31Z |
[View on Civ Archive](https://civarchive.com/models/78685?modelVersionId=95240)
|
crystalline7/62678
|
crystalline7
| 2025-08-19T21:56:20Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:56:20Z |
[View on Civ Archive](https://civarchive.com/models/78685?modelVersionId=91060)
|
liloidon/blockassist-bc-winged_powerful_caterpillar_1755640023
|
liloidon
| 2025-08-19T21:56:06Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"winged powerful caterpillar",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-19T21:55:59Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- winged powerful caterpillar
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
seraphimzzzz/15453
|
seraphimzzzz
| 2025-08-19T21:56:04Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:56:00Z |
[View on Civ Archive](https://civarchive.com/models/15653?modelVersionId=18465)
|
AnonymousCS/xlmr_immigration_combo4_3
|
AnonymousCS
| 2025-08-19T21:55:59Z | 0 | 0 |
transformers
|
[
"transformers",
"tensorboard",
"safetensors",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"base_model:FacebookAI/xlm-roberta-large",
"base_model:finetune:FacebookAI/xlm-roberta-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] |
text-classification
| 2025-08-19T21:52:36Z |
---
library_name: transformers
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: xlmr_immigration_combo4_3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlmr_immigration_combo4_3
This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2766
- Accuracy: 0.9203
- 1-f1: 0.8780
- 1-recall: 0.8610
- 1-precision: 0.8956
- Balanced Acc: 0.9055
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.2421 | 1.0 | 25 | 0.2532 | 0.9152 | 0.8721 | 0.8687 | 0.8755 | 0.9035 |
| 0.1339 | 2.0 | 50 | 0.2618 | 0.9254 | 0.8811 | 0.8301 | 0.9389 | 0.9016 |
| 0.1358 | 3.0 | 75 | 0.2766 | 0.9203 | 0.8780 | 0.8610 | 0.8956 | 0.9055 |
### Framework versions
- Transformers 4.56.0.dev0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
|
ultratopaz/9638
|
ultratopaz
| 2025-08-19T21:55:47Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:55:44Z |
[View on Civ Archive](https://civarchive.com/models/8054?modelVersionId=10039)
|
Muapi/john-everett-millais-style
|
Muapi
| 2025-08-19T21:55:35Z | 0 | 0 | null |
[
"lora",
"stable-diffusion",
"flux.1-d",
"license:openrail++",
"region:us"
] | null | 2025-08-19T21:55:21Z |
---
license: openrail++
tags:
- lora
- stable-diffusion
- flux.1-d
model_type: LoRA
---
# John Everett Millais Style
**Base model**: Flux.1 D
**Trained words**: John Everett Millais Style
## 🧠 Usage (Python)
🔑 **Get your MUAPI key** from [muapi.ai/access-keys](https://muapi.ai/access-keys)
```python
import requests, os
url = "https://api.muapi.ai/api/v1/flux_dev_lora_image"
headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
payload = {
"prompt": "masterpiece, best quality, 1girl, looking at viewer",
"model_id": [{"model": "civitai:101247@1577804", "weight": 1.0}],
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
```
|
seraphimzzzz/66362
|
seraphimzzzz
| 2025-08-19T21:55:33Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:55:30Z |
[View on Civ Archive](https://civarchive.com/models/89849?modelVersionId=95671)
|
crystalline7/82522
|
crystalline7
| 2025-08-19T21:55:20Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:55:17Z |
[View on Civ Archive](https://civarchive.com/models/107606?modelVersionId=115748)
|
crystalline7/77174
|
crystalline7
| 2025-08-19T21:55:13Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:55:10Z |
[View on Civ Archive](https://civarchive.com/models/102100?modelVersionId=109302)
|
Muapi/randommaxx-fantastify
|
Muapi
| 2025-08-19T21:55:10Z | 0 | 0 | null |
[
"lora",
"stable-diffusion",
"flux.1-d",
"license:openrail++",
"region:us"
] | null | 2025-08-19T21:54:46Z |
---
license: openrail++
tags:
- lora
- stable-diffusion
- flux.1-d
model_type: LoRA
---
# RandomMaxx Fantastify
**Base model**: Flux.1 D
**Trained words**:
## 🧠 Usage (Python)
🔑 **Get your MUAPI key** from [muapi.ai/access-keys](https://muapi.ai/access-keys)
```python
import requests, os
url = "https://api.muapi.ai/api/v1/flux_dev_lora_image"
headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
payload = {
"prompt": "masterpiece, best quality, 1girl, looking at viewer",
"model_id": [{"model": "civitai:1137613@1298660", "weight": 1.0}],
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
```
|
ultratopaz/28059
|
ultratopaz
| 2025-08-19T21:54:53Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:54:50Z |
[View on Civ Archive](https://civarchive.com/models/28417?modelVersionId=34091)
|
lilTAT/blockassist-bc-gentle_rugged_hare_1755640460
|
lilTAT
| 2025-08-19T21:54:47Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"gentle rugged hare",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-19T21:54:43Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- gentle rugged hare
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
ultratopaz/79640
|
ultratopaz
| 2025-08-19T21:54:46Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:54:44Z |
[View on Civ Archive](https://civarchive.com/models/104784?modelVersionId=112352)
|
crystalline7/77876
|
crystalline7
| 2025-08-19T21:54:16Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:54:13Z |
[View on Civ Archive](https://civarchive.com/models/37392?modelVersionId=110230)
|
seraphimzzzz/33020
|
seraphimzzzz
| 2025-08-19T21:54:06Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:54:02Z |
[View on Civ Archive](https://civarchive.com/models/37392?modelVersionId=43399)
|
sampingkaca72/blockassist-bc-armored_stealthy_elephant_1755638962
|
sampingkaca72
| 2025-08-19T21:53:39Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"armored stealthy elephant",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-19T21:53:36Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- armored stealthy elephant
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
ultratopaz/17663
|
ultratopaz
| 2025-08-19T21:53:38Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:53:35Z |
[View on Civ Archive](https://civarchive.com/models/17943?modelVersionId=21206)
|
ultratopaz/18844
|
ultratopaz
| 2025-08-19T21:53:29Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:53:25Z |
[View on Civ Archive](https://civarchive.com/models/19092?modelVersionId=22655)
|
katanyasekolah/blockassist-bc-silky_sprightly_cassowary_1755638698
|
katanyasekolah
| 2025-08-19T21:53:25Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"silky sprightly cassowary",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-19T21:53:22Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- silky sprightly cassowary
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
koloni/blockassist-bc-deadly_graceful_stingray_1755638796
|
koloni
| 2025-08-19T21:53:23Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"deadly graceful stingray",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-19T21:53:20Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- deadly graceful stingray
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
crystalline7/15076
|
crystalline7
| 2025-08-19T21:53:19Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:53:15Z |
[View on Civ Archive](https://civarchive.com/models/15306?modelVersionId=18031)
|
Tavernari/git-commit-message-splitter-Qwen3-8B
|
Tavernari
| 2025-08-19T21:53:09Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"qwen3",
"text-generation",
"text-generation-inference",
"unsloth",
"conversational",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2025-08-19T20:43:42Z |
---
base_model: unsloth/qwen3-8b
tags:
- text-generation-inference
- transformers
- unsloth
- qwen3
license: apache-2.0
language:
- en
---
# Uploaded finetuned model
- **Developed by:** Tavernari
- **License:** apache-2.0
- **Finetuned from model :** unsloth/qwen3-8b
This qwen3 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
|
Muapi/better-looking-caucasian-men-flux
|
Muapi
| 2025-08-19T21:53:05Z | 0 | 0 | null |
[
"lora",
"stable-diffusion",
"flux.1-d",
"license:openrail++",
"region:us"
] | null | 2025-08-19T21:52:47Z |
---
license: openrail++
tags:
- lora
- stable-diffusion
- flux.1-d
model_type: LoRA
---
# Better looking caucasian men FLUX
**Base model**: Flux.1 D
**Trained words**: handsome man, h7ns5
## 🧠 Usage (Python)
🔑 **Get your MUAPI key** from [muapi.ai/access-keys](https://muapi.ai/access-keys)
```python
import requests, os
url = "https://api.muapi.ai/api/v1/flux_dev_lora_image"
headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
payload = {
"prompt": "masterpiece, best quality, 1girl, looking at viewer",
"model_id": [{"model": "civitai:863375@1405891", "weight": 1.0}],
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
```
|
roeker/blockassist-bc-quick_wiry_owl_1755640285
|
roeker
| 2025-08-19T21:52:48Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"quick wiry owl",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-19T21:52:14Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- quick wiry owl
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
seraphimzzzz/61326
|
seraphimzzzz
| 2025-08-19T21:52:37Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:52:32Z |
[View on Civ Archive](https://civarchive.com/models/84000?modelVersionId=89275)
|
seraphimzzzz/119680
|
seraphimzzzz
| 2025-08-19T21:52:26Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:52:22Z |
[View on Civ Archive](https://civarchive.com/models/143512?modelVersionId=159268)
|
ultratopaz/637991
|
ultratopaz
| 2025-08-19T21:52:06Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:51:58Z |
[View on Civ Archive](https://civarchive.com/models/646687?modelVersionId=723463)
|
ultratopaz/885321
|
ultratopaz
| 2025-08-19T21:51:52Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:51:49Z |
[View on Civ Archive](https://civarchive.com/models/699054?modelVersionId=979229)
|
ver-videos-intimo-de-abigail-lalama-viral/link.ver.filtrado.video.de.abigail.lalama.y.snayder.influencer.se.hace.viral.en.redes.sociales
|
ver-videos-intimo-de-abigail-lalama-viral
| 2025-08-19T21:50:56Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:50:45Z |
<a data-target="animated-image.originalLink" rel="nofollow" href="https://tinyurl.com/4axawfmy?Abigail
"><img data-target="animated-image.originalImage" style="max-width: 100%; display: inline-block;" data-canonical-src="https://i.imgur.com/dJHk4Zq.gif" alt="WATCH Videos" src="https://static.wixstatic.com/media/b249f9_adac8f70fb3f45b88691696c77de18f3~mv2.gif"></a>
|
crystalline7/9613
|
crystalline7
| 2025-08-19T21:50:32Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:50:27Z |
[View on Civ Archive](https://civarchive.com/models/8478?modelVersionId=9995)
|
AnonymousCS/xlmr_immigration_combo4_2
|
AnonymousCS
| 2025-08-19T21:50:12Z | 0 | 0 |
transformers
|
[
"transformers",
"tensorboard",
"safetensors",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"base_model:FacebookAI/xlm-roberta-large",
"base_model:finetune:FacebookAI/xlm-roberta-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] |
text-classification
| 2025-08-19T21:37:55Z |
---
library_name: transformers
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: xlmr_immigration_combo4_2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlmr_immigration_combo4_2
This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3071
- Accuracy: 0.8946
- 1-f1: 0.8373
- 1-recall: 0.8147
- 1-precision: 0.8612
- Balanced Acc: 0.8746
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.6244 | 1.0 | 25 | 0.6288 | 0.6671 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.2443 | 2.0 | 50 | 0.3320 | 0.8933 | 0.8230 | 0.7452 | 0.9190 | 0.8562 |
| 0.1623 | 3.0 | 75 | 0.2972 | 0.8997 | 0.8458 | 0.8263 | 0.8664 | 0.8813 |
| 0.1675 | 4.0 | 100 | 0.2989 | 0.8972 | 0.8431 | 0.8301 | 0.8566 | 0.8804 |
| 0.1771 | 5.0 | 125 | 0.3071 | 0.8946 | 0.8373 | 0.8147 | 0.8612 | 0.8746 |
### Framework versions
- Transformers 4.56.0.dev0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
|
ultratopaz/719679
|
ultratopaz
| 2025-08-19T21:49:56Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:49:52Z |
[View on Civ Archive](https://civarchive.com/models/236627?modelVersionId=806114)
|
Muapi/polaroid-669-ultrareal
|
Muapi
| 2025-08-19T21:49:34Z | 0 | 0 | null |
[
"lora",
"stable-diffusion",
"flux.1-d",
"license:openrail++",
"region:us"
] | null | 2025-08-19T21:49:17Z |
---
license: openrail++
tags:
- lora
- stable-diffusion
- flux.1-d
model_type: LoRA
---
# Polaroid 669 UltraReal
**Base model**: Flux.1 D
**Trained words**: p0l2rd, prominent film grain, overexposed and blurry photo, polaroid-style format with white border, distinctive burnt edge, photograph appears aged or partially developed, with the almost half right side fading into white
## 🧠 Usage (Python)
🔑 **Get your MUAPI key** from [muapi.ai/access-keys](https://muapi.ai/access-keys)
```python
import requests, os
url = "https://api.muapi.ai/api/v1/flux_dev_lora_image"
headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
payload = {
"prompt": "masterpiece, best quality, 1girl, looking at viewer",
"model_id": [{"model": "civitai:1378102@1557091", "weight": 1.0}],
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
```
|
finalform/temp
|
finalform
| 2025-08-19T21:49:33Z | 0 | 0 |
peft
|
[
"peft",
"tensorboard",
"safetensors",
"base_model:adapter:Qwen/Qwen2.5-Coder-7B-Instruct",
"lora",
"sft",
"transformers",
"trl",
"text-generation",
"conversational",
"arxiv:1910.09700",
"base_model:Qwen/Qwen2.5-Coder-7B-Instruct",
"region:us"
] |
text-generation
| 2025-08-19T21:48:26Z |
---
base_model: Qwen/Qwen2.5-Coder-7B-Instruct
library_name: peft
pipeline_tag: text-generation
tags:
- base_model:adapter:Qwen/Qwen2.5-Coder-7B-Instruct
- lora
- sft
- transformers
- trl
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed]
### Framework versions
- PEFT 0.17.0
|
ultratopaz/19565
|
ultratopaz
| 2025-08-19T21:49:21Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:49:18Z |
[View on Civ Archive](https://civarchive.com/models/19855?modelVersionId=23572)
|
crystalline7/61277
|
crystalline7
| 2025-08-19T21:48:59Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:48:56Z |
[View on Civ Archive](https://civarchive.com/models/83957?modelVersionId=89226)
|
Muapi/nano-armor-flux-and-sd1.5
|
Muapi
| 2025-08-19T21:48:46Z | 0 | 0 | null |
[
"lora",
"stable-diffusion",
"flux.1-d",
"license:openrail++",
"region:us"
] | null | 2025-08-19T21:48:29Z |
---
license: openrail++
tags:
- lora
- stable-diffusion
- flux.1-d
model_type: LoRA
---
# Nano Armor (FLUX and SD1.5)
**Base model**: Flux.1 D
**Trained words**: beautiful female cyborg
## 🧠 Usage (Python)
🔑 **Get your MUAPI key** from [muapi.ai/access-keys](https://muapi.ai/access-keys)
```python
import requests, os
url = "https://api.muapi.ai/api/v1/flux_dev_lora_image"
headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
payload = {
"prompt": "masterpiece, best quality, 1girl, looking at viewer",
"model_id": [{"model": "civitai:158145@737920", "weight": 1.0}],
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
```
|
ultratopaz/96557
|
ultratopaz
| 2025-08-19T21:48:12Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:48:09Z |
[View on Civ Archive](https://civarchive.com/models/121962?modelVersionId=132763)
|
seraphimzzzz/35923
|
seraphimzzzz
| 2025-08-19T21:48:05Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:48:02Z |
[View on Civ Archive](https://civarchive.com/models/44026?modelVersionId=48662)
|
Coercer/BatchTagger
|
Coercer
| 2025-08-19T21:48:04Z | 1 | 0 | null |
[
"region:us"
] | null | 2025-02-10T16:01:55Z |
If you got here, you might be searching for this:
Colab Implementation, where this specific repo is used.
https://colab.research.google.com/drive/1DKT5rFBTHhkyibVMK4SCYTJWHl2kaV3p?usp=sharing
Original implementation:
https://huggingface.co/RedRocket/JointTaggerProject
All credit goes to them.
|
ultratopaz/67078
|
ultratopaz
| 2025-08-19T21:47:31Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:47:28Z |
[View on Civ Archive](https://civarchive.com/models/90656?modelVersionId=96590)
|
ultratopaz/107085
|
ultratopaz
| 2025-08-19T21:47:22Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:47:19Z |
[View on Civ Archive](https://civarchive.com/models/131686?modelVersionId=144755)
|
crystalline7/54583
|
crystalline7
| 2025-08-19T21:47:15Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:47:12Z |
[View on Civ Archive](https://civarchive.com/models/74742?modelVersionId=79485)
|
seraphimzzzz/31317
|
seraphimzzzz
| 2025-08-19T21:47:07Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:47:03Z |
[View on Civ Archive](https://civarchive.com/models/34123?modelVersionId=40403)
|
ultratopaz/29320
|
ultratopaz
| 2025-08-19T21:46:56Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:46:52Z |
[View on Civ Archive](https://civarchive.com/models/24220?modelVersionId=36534)
|
ultratopaz/29399
|
ultratopaz
| 2025-08-19T21:46:46Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:46:41Z |
[View on Civ Archive](https://civarchive.com/models/30429?modelVersionId=36696)
|
ultratopaz/22902
|
ultratopaz
| 2025-08-19T21:46:36Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:46:31Z |
[View on Civ Archive](https://civarchive.com/models/23196?modelVersionId=27705)
|
kojeklollipop/blockassist-bc-spotted_amphibious_stork_1755638336
|
kojeklollipop
| 2025-08-19T21:46:33Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"spotted amphibious stork",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-19T21:46:29Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- spotted amphibious stork
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
ultratopaz/70504
|
ultratopaz
| 2025-08-19T21:46:25Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:46:20Z |
[View on Civ Archive](https://civarchive.com/models/94583?modelVersionId=100890)
|
crystalline7/27544
|
crystalline7
| 2025-08-19T21:46:08Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:46:04Z |
[View on Civ Archive](https://civarchive.com/models/18382?modelVersionId=33449)
|
Muapi/kodak-vision3-250d-analog-film-stocks-footage-f1d-xl
|
Muapi
| 2025-08-19T21:46:01Z | 0 | 0 | null |
[
"lora",
"stable-diffusion",
"flux.1-d",
"license:openrail++",
"region:us"
] | null | 2025-08-19T21:45:36Z |
---
license: openrail++
tags:
- lora
- stable-diffusion
- flux.1-d
model_type: LoRA
---
# Kodak VISION3 250D analog film stocks footage F1D + XL
**Base model**: Flux.1 D
**Trained words**: Kodak VISION3 250D, analog film stocks
## 🧠 Usage (Python)
🔑 **Get your MUAPI key** from [muapi.ai/access-keys](https://muapi.ai/access-keys)
```python
import requests, os
url = "https://api.muapi.ai/api/v1/flux_dev_lora_image"
headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
payload = {
"prompt": "masterpiece, best quality, 1girl, looking at viewer",
"model_id": [{"model": "civitai:725620@876674", "weight": 1.0}],
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
```
|
seraphimzzzz/53040
|
seraphimzzzz
| 2025-08-19T21:45:58Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:45:54Z |
[View on Civ Archive](https://civarchive.com/models/63314?modelVersionId=76926)
|
crystalline7/15565
|
crystalline7
| 2025-08-19T21:45:46Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:45:38Z |
[View on Civ Archive](https://civarchive.com/models/11722?modelVersionId=18576)
|
ultratopaz/13458
|
ultratopaz
| 2025-08-19T21:45:22Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:45:18Z |
[View on Civ Archive](https://civarchive.com/models/11722?modelVersionId=15770)
|
seraphimzzzz/56755
|
seraphimzzzz
| 2025-08-19T21:44:18Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:44:15Z |
[View on Civ Archive](https://civarchive.com/models/78185?modelVersionId=82965)
|
crystalline7/44074
|
crystalline7
| 2025-08-19T21:44:11Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:44:08Z |
[View on Civ Archive](https://civarchive.com/models/57967?modelVersionId=62413)
|
crystalline7/49774
|
crystalline7
| 2025-08-19T21:44:04Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:44:02Z |
[View on Civ Archive](https://civarchive.com/models/66904?modelVersionId=71570)
|
seraphimzzzz/49769
|
seraphimzzzz
| 2025-08-19T21:43:58Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:43:56Z |
[View on Civ Archive](https://civarchive.com/models/66895?modelVersionId=71561)
|
coelacanthxyz/blockassist-bc-finicky_thriving_grouse_1755638041
|
coelacanthxyz
| 2025-08-19T21:43:46Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"finicky thriving grouse",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-19T21:43:40Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- finicky thriving grouse
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
seraphimzzzz/42296
|
seraphimzzzz
| 2025-08-19T21:43:45Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:43:43Z |
[View on Civ Archive](https://civarchive.com/models/53614?modelVersionId=59590)
|
Sayemahsjn/blockassist-bc-playful_feline_octopus_1755638657
|
Sayemahsjn
| 2025-08-19T21:43:40Z | 0 | 0 | null |
[
"gensyn",
"blockassist",
"gensyn-blockassist",
"minecraft",
"playful feline octopus",
"arxiv:2504.07091",
"region:us"
] | null | 2025-08-19T21:43:36Z |
---
tags:
- gensyn
- blockassist
- gensyn-blockassist
- minecraft
- playful feline octopus
---
# Gensyn BlockAssist
Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
|
seraphimzzzz/70861
|
seraphimzzzz
| 2025-08-19T21:43:30Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:43:28Z |
[View on Civ Archive](https://civarchive.com/models/94981?modelVersionId=101324)
|
ultratopaz/12168
|
ultratopaz
| 2025-08-19T21:43:22Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:43:18Z |
[View on Civ Archive](https://civarchive.com/models/11716?modelVersionId=13842)
|
crystalline7/821073
|
crystalline7
| 2025-08-19T21:43:06Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:43:03Z |
[View on Civ Archive](https://civarchive.com/models/45489?modelVersionId=913450)
|
seraphimzzzz/66397
|
seraphimzzzz
| 2025-08-19T21:42:59Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:42:57Z |
[View on Civ Archive](https://civarchive.com/models/45489?modelVersionId=95729)
|
crystalline7/290815
|
crystalline7
| 2025-08-19T21:42:44Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:42:38Z |
[View on Civ Archive](https://civarchive.com/models/319786?modelVersionId=363876)
|
crystalline7/90067
|
crystalline7
| 2025-08-19T21:42:33Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:42:30Z |
[View on Civ Archive](https://civarchive.com/models/115364?modelVersionId=124784)
|
seraphimzzzz/526763
|
seraphimzzzz
| 2025-08-19T21:42:22Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:42:12Z |
[View on Civ Archive](https://civarchive.com/models/115364?modelVersionId=611730)
|
crystalline7/37113
|
crystalline7
| 2025-08-19T21:41:56Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:41:52Z |
[View on Civ Archive](https://civarchive.com/models/43777?modelVersionId=50678)
|
crystalline7/463877
|
crystalline7
| 2025-08-19T21:41:42Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:41:39Z |
[View on Civ Archive](https://civarchive.com/models/354504?modelVersionId=547687)
|
ultratopaz/41955
|
ultratopaz
| 2025-08-19T21:41:27Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:41:22Z |
[View on Civ Archive](https://civarchive.com/models/54720?modelVersionId=59100)
|
seraphimzzzz/23289
|
seraphimzzzz
| 2025-08-19T21:40:40Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:40:36Z |
[View on Civ Archive](https://civarchive.com/models/23586?modelVersionId=28177)
|
ultratopaz/55112
|
ultratopaz
| 2025-08-19T21:40:31Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:40:28Z |
[View on Civ Archive](https://civarchive.com/models/37953?modelVersionId=80347)
|
crystalline7/107109
|
crystalline7
| 2025-08-19T21:40:05Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:40:01Z |
[View on Civ Archive](https://civarchive.com/models/131709?modelVersionId=144785)
|
ultratopaz/68207
|
ultratopaz
| 2025-08-19T21:39:56Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:39:54Z |
[View on Civ Archive](https://civarchive.com/models/91911?modelVersionId=97993)
|
ultratopaz/714186
|
ultratopaz
| 2025-08-19T21:39:46Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:39:46Z |
[View on Civ Archive](https://civarchive.com/models/715924?modelVersionId=800606)
|
seraphimzzzz/67588
|
seraphimzzzz
| 2025-08-19T21:39:39Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:39:35Z |
[View on Civ Archive](https://civarchive.com/models/91230?modelVersionId=97227)
|
crystalline7/242510
|
crystalline7
| 2025-08-19T21:39:30Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:39:28Z |
[View on Civ Archive](https://civarchive.com/models/272212?modelVersionId=306832)
|
ultratopaz/30282
|
ultratopaz
| 2025-08-19T21:39:23Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:39:20Z |
[View on Civ Archive](https://civarchive.com/models/24882?modelVersionId=38670)
|
crystalline7/29463
|
crystalline7
| 2025-08-19T21:39:14Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:39:10Z |
[View on Civ Archive](https://civarchive.com/models/30548?modelVersionId=36842)
|
seraphimzzzz/22590
|
seraphimzzzz
| 2025-08-19T21:39:04Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:39:00Z |
[View on Civ Archive](https://civarchive.com/models/22866?modelVersionId=27302)
|
ultratopaz/40459
|
ultratopaz
| 2025-08-19T21:38:38Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:38:33Z |
[View on Civ Archive](https://civarchive.com/models/31719?modelVersionId=56589)
|
seraphimzzzz/46023
|
seraphimzzzz
| 2025-08-19T21:37:34Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:37:34Z |
[View on Civ Archive](https://civarchive.com/models/61201?modelVersionId=65664)
|
seraphimzzzz/49783
|
seraphimzzzz
| 2025-08-19T21:37:19Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:37:14Z |
[View on Civ Archive](https://civarchive.com/models/48228?modelVersionId=52846)
|
AnonymousCS/xlmr_immigration_combo4_1
|
AnonymousCS
| 2025-08-19T21:37:02Z | 0 | 0 |
transformers
|
[
"transformers",
"tensorboard",
"safetensors",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"base_model:FacebookAI/xlm-roberta-large",
"base_model:finetune:FacebookAI/xlm-roberta-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] |
text-classification
| 2025-08-19T21:33:45Z |
---
library_name: transformers
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: xlmr_immigration_combo4_1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlmr_immigration_combo4_1
This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1490
- Accuracy: 0.9756
- 1-f1: 0.9628
- 1-recall: 0.9498
- 1-precision: 0.9762
- Balanced Acc: 0.9691
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.086 | 1.0 | 25 | 0.1124 | 0.9756 | 0.9628 | 0.9498 | 0.9762 | 0.9691 |
| 0.0638 | 2.0 | 50 | 0.1122 | 0.9756 | 0.9628 | 0.9498 | 0.9762 | 0.9691 |
| 0.0429 | 3.0 | 75 | 0.1260 | 0.9743 | 0.9611 | 0.9537 | 0.9686 | 0.9691 |
| 0.1155 | 4.0 | 100 | 0.1490 | 0.9756 | 0.9628 | 0.9498 | 0.9762 | 0.9691 |
### Framework versions
- Transformers 4.56.0.dev0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
|
ultratopaz/71500
|
ultratopaz
| 2025-08-19T21:36:58Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:36:55Z |
[View on Civ Archive](https://civarchive.com/models/95614?modelVersionId=102084)
|
seraphimzzzz/638595
|
seraphimzzzz
| 2025-08-19T21:36:13Z | 0 | 0 | null |
[
"region:us"
] | null | 2025-08-19T21:36:07Z |
[View on Civ Archive](https://civarchive.com/models/647203?modelVersionId=724060)
|
Lingyuzhou/Qwen_Asian_Girl_Chenyi
|
Lingyuzhou
| 2025-08-19T21:35:58Z | 0 | 0 |
diffusers
|
[
"diffusers",
"text-to-image",
"lora",
"template:diffusion-lora",
"base_model:Qwen/Qwen-Image",
"base_model:adapter:Qwen/Qwen-Image",
"license:apache-2.0",
"region:us"
] |
text-to-image
| 2025-08-19T21:30:58Z |
---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/Qwen_Asian_Girl_Chenyi.png
text: '-'
base_model: Qwen/Qwen-Image
instance_prompt: null
license: apache-2.0
---
# Qwen_Asian_Girl_Chenyi
<Gallery />
## Download model
[Download](/Lingyuzhou/Qwen_Asian_Girl_Chenyi/tree/main) them in the Files & versions tab.
|
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