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README.md
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---
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license: cc-by-nc-4.0
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tags:
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- generated_from_trainer
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metrics:
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- bleu
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model-index:
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- name: easyword-model-peft-distilled-1.3B
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results: []
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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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# easyword-model-peft-distilled-1.3B
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This model is a fine-tuned version of [facebook/nllb-200-distilled-1.3B](https://huggingface.co/facebook/nllb-200-distilled-1.3B) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.4596
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- Bleu: 2.6322
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- Gen Len: 5.8199
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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: 16
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- eval_batch_size: 16
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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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- mixed_precision_training: Native AMP
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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 | 31 | 4.9810 | 0.0 | 9.4099 |
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| No log | 2.0 | 62 | 4.4936 | 0.0 | 8.7516 |
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| No log | 3.0 | 93 | 4.0142 | 1.017 | 7.1801 |
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| No log | 4.0 | 124 | 3.6795 | 1.7949 | 6.2733 |
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| No log | 5.0 | 155 | 3.5729 | 2.5943 | 5.9255 |
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| No log | 6.0 | 186 | 3.5270 | 2.6178 | 5.882 |
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| No log | 7.0 | 217 | 3.4960 | 2.92 | 5.8075 |
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| No log | 8.0 | 248 | 3.4751 | 2.6168 | 5.8447 |
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| No log | 9.0 | 279 | 3.4634 | 2.6063 | 5.8385 |
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| No log | 10.0 | 310 | 3.4596 | 2.6322 | 5.8199 |
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### Framework versions
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- Transformers 4.29.2
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- Pytorch 2.0.1+cu117
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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