File size: 3,326 Bytes
d89bd09 1214db1 d89bd09 bab294e d89bd09 5975792 d89bd09 5975792 d89bd09 5975792 d89bd09 bab294e d89bd09 1214db1 d89bd09 5975792 d89bd09 5975792 654097c d89bd09 5975792 d89bd09 5975792 d89bd09 5975792 d89bd09 5975792 d89bd09 5975792 654097c 5975792 bab294e d89bd09 5975792 bab294e 5975792 d89bd09 5975792 d89bd09 654097c 5975792 d89bd09 5975792 654097c bab294e 654097c bab294e 654097c d89bd09 5975792 d89bd09 bab294e d89bd09 1214db1 d89bd09 5975792 d89bd09 5975792 654097c d89bd09 5975792 d89bd09 5975792 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 |
---
library_name: peft
tags:
- generated_from_trainer
base_model: samoline/b7447218-27e6-491c-b3ab-ea03a5b93541
model-index:
- name: app/checkpoints/test1334test1234test1234test12334/texttest
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. -->
[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
<details><summary>See axolotl config</summary>
axolotl version: `0.11.0.dev0`
```yaml
adapter: lora
base_model: samoline/b7447218-27e6-491c-b3ab-ea03a5b93541
bf16: auto
chat_template: llama3
dataset_prepared_path: null
datasets:
- data_files:
- test1334test1234test1234test12334_train_data.json
ds_type: json
format: custom
path: /workspace/axolotl/data
type:
field_instruction: instruct
field_output: output
format: '{instruction}'
no_input_format: '{instruction}'
system_prompt: ''
debug: null
deepspeed: null
early_stopping_patience: null
eval_max_new_tokens: 128
eval_table_size: null
evals_per_epoch: 1
flash_attention: false
fp16: null
fsdp: null
fsdp_config: null
gradient_accumulation_steps: 4
gradient_checkpointing: false
group_by_length: false
learning_rate: 0.0002
load_in_4bit: false
load_in_8bit: false
local_rank: null
logging_steps: 1
lora_alpha: 16
lora_dropout: 0.05
lora_fan_in_fan_out: null
lora_model_dir: null
lora_r: 8
lora_target_linear: true
lr_scheduler: cosine
max_steps: 1
micro_batch_size: 2
mlflow_experiment_name: /workspace/axolotl/data/test1334test1234test1234test12334_train_data.json
model_type: AutoModelForCausalLM
num_epochs: 1
optimizer: adamw_bnb_8bit
output_dir: /app/checkpoints/test1334test1234test1234test12334/texttest
pad_to_sequence_len: true
resume_from_checkpoint: null
s2_attention: null
sample_packing: false
saves_per_epoch: 1
sequence_len: 512
strict: false
tf32: false
tokenizer_type: AutoTokenizer
train_on_inputs: false
trust_remote_code: true
val_set_size: 0.05
wandb_entity: null
wandb_mode: offline
wandb_name: test1334test1234test1234test12334_texttest
wandb_project: Gradients-On-Demand
wandb_run: your_name
wandb_runid: test1334test1234test1234test12334_texttest
warmup_steps: 1
weight_decay: 0.0
xformers_attention: null
```
</details><br>
# app/checkpoints/test1334test1234test1234test12334/texttest
This model was trained from scratch on the None dataset.
## 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: 0.0002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 2
- training_steps: 1
### Training results
### Framework versions
- PEFT 0.15.2
- Transformers 4.53.1
- Pytorch 2.5.1+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2 |