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--- |
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license: apache-2.0 |
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base_model: kalese/opus-mt-en-bkm-10e64 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- arrow |
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metrics: |
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- bleu |
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model-index: |
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- name: opus-mt-en-bkm-10e6encdec |
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results: |
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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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dataset: |
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name: arrow |
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type: arrow |
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config: default |
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split: train |
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args: default |
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metrics: |
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- name: Bleu |
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type: bleu |
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value: 11.9553 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# opus-mt-en-bkm-10e6encdec |
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This model is a fine-tuned version of [kalese/opus-mt-en-bkm-10e64](https://huggingface.co/kalese/opus-mt-en-bkm-10e64) on the arrow dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2348 |
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- Bleu: 11.9553 |
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- Gen Len: 59.1988 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
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| No log | 1.0 | 487 | 1.4043 | 8.6981 | 61.258 | |
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| 1.5617 | 2.0 | 974 | 1.3571 | 9.509 | 60.8748 | |
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| 1.4774 | 3.0 | 1461 | 1.3228 | 10.2845 | 59.9297 | |
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| 1.4163 | 4.0 | 1948 | 1.2973 | 10.6005 | 58.8915 | |
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| 1.3617 | 5.0 | 2435 | 1.2759 | 11.0695 | 60.2136 | |
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| 1.3197 | 6.0 | 2922 | 1.2600 | 11.3475 | 59.4659 | |
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| 1.2935 | 7.0 | 3409 | 1.2475 | 11.6735 | 60.2644 | |
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| 1.263 | 8.0 | 3896 | 1.2408 | 11.8938 | 59.1946 | |
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| 1.244 | 9.0 | 4383 | 1.2357 | 12.0332 | 59.48 | |
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| 1.2308 | 10.0 | 4870 | 1.2348 | 11.9553 | 59.1988 | |
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### Framework versions |
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- Transformers 4.39.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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