End of training

README.md

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+---
+library_name: transformers
+license: cc-by-nc-4.0
+base_model: facebook/nllb-200-distilled-600M
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: cascaded-stt-es-ja-nllb-200-distilled-es-ja
+  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. -->
+
+# cascaded-stt-es-ja-nllb-200-distilled-es-ja
+
+This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2132
+- Bleu: 36.8849
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 5000
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Bleu    |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 3.3461        | 0.3965 | 250  | 0.6368          | 30.6487 |
+| 0.2447        | 0.7930 | 500  | 0.2263          | 33.0129 |
+| 0.2114        | 1.1895 | 750  | 0.2187          | 32.5117 |
+| 0.1922        | 1.5860 | 1000 | 0.2121          | 34.6996 |
+| 0.1903        | 1.9826 | 1250 | 0.2080          | 35.5595 |
+| 0.165         | 2.3791 | 1500 | 0.2098          | 35.9749 |
+| 0.1574        | 2.7756 | 1750 | 0.2072          | 36.6129 |
+| 0.1406        | 3.1721 | 2000 | 0.2078          | 36.6204 |
+| 0.1419        | 3.5686 | 2250 | 0.2074          | 36.6043 |
+| 0.1417        | 3.9651 | 2500 | 0.2059          | 36.9861 |
+| 0.1247        | 4.3616 | 2750 | 0.2079          | 37.0112 |
+| 0.1262        | 4.7581 | 3000 | 0.2072          | 36.9232 |
+| 0.1196        | 5.1546 | 3250 | 0.2078          | 36.9248 |
+| 0.1152        | 5.5511 | 3500 | 0.2076          | 37.3149 |
+| 0.1137        | 5.9477 | 3750 | 0.2077          | 37.4817 |
+| 0.105         | 6.3442 | 4000 | 0.2088          | 37.6263 |
+| 0.1105        | 6.7407 | 4250 | 0.2084          | 35.4415 |
+| 0.102         | 7.1372 | 4500 | 0.2088          | 37.3749 |
+| 0.1029        | 7.5337 | 4750 | 0.2089          | 37.3476 |
+| 0.1018        | 7.9302 | 5000 | 0.2090          | 37.5204 |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.4.0+cu124
+- Datasets 3.2.0
+- Tokenizers 0.20.3

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "max_length": 200,
+  "pad_token_id": 1,
+  "transformers_version": "4.45.2",
+  "use_cache": false
+}

model.safetensors

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+oid sha256:494653739fdc1c9bef1da23270a6099b5ee0f74156bafbda04138eb24fa66f49
 size 2460354912