End of training

README.md

@@ -0,0 +1,84 @@
+---
+language:
+- ro
+license: apache-2.0
+base_model: Helsinki-NLP/opus-mt-en-ro
+tags:
+- generated_from_trainer
+datasets:
+- IoanRazvan/ro-romani
+metrics:
+- bleu
+model-index:
+- name: MarianMT Romani-Romanian NMT
+  results:
+  - task:
+      name: Translation
+      type: translation
+    dataset:
+      name: IoanRazvan/ro-romani
+      type: IoanRazvan/ro-romani
+      args: 'config: ro, split: train'
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 0.6077195716202178
+---
+
+<!-- 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. -->
+
+# MarianMT Romani-Romanian NMT
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ro](https://huggingface.co/Helsinki-NLP/opus-mt-en-ro) on the IoanRazvan/ro-romani dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3277
+- Bleu: 0.6077
+
+## 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: 64
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- training_steps: 6000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu   |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.5152        | 5.19  | 1000 | 0.4979          | 0.4753 |
+| 0.4051        | 10.39 | 2000 | 0.3960          | 0.5528 |
+| 0.351         | 15.58 | 3000 | 0.3577          | 0.5847 |
+| 0.3222        | 20.78 | 4000 | 0.3394          | 0.5983 |
+| 0.3108        | 25.97 | 5000 | 0.3305          | 0.6056 |
+| 0.3005        | 31.17 | 6000 | 0.3277          | 0.6077 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

@@ -0,0 +1,16 @@
+{
+  "bad_words_ids": [
+    [
+      59542
+    ]
+  ],
+  "bos_token_id": 0,
+  "decoder_start_token_id": 59542,
+  "eos_token_id": 0,
+  "forced_eos_token_id": 0,
+  "max_length": 512,
+  "num_beams": 4,
+  "pad_token_id": 59542,
+  "renormalize_logits": true,
+  "transformers_version": "4.38.2"
+}

runs/Mar15_16-25-04_f209e5fb0092/events.out.tfevents.1710519909.f209e5fb0092.34916.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d800acc3072fe8cda5aa6a3a726710d00c27e926f3d8f59385d87e91a6bdce37
-size 133940
+oid sha256:ef14cf23a6b2e0ffa7b1b4a10fdbf82f01b98241c4638a6d13094004eb53f47b
+size 134294