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End of training
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README.md
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base_model: google-t5/t5-small
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tags:
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- generated_from_trainer
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model-index:
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- name: my_awesome_opus_books_model
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results: []
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@@ -17,9 +19,14 @@ should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>]()
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>]()
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>]()
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# my_awesome_opus_books_model
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This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
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## Model description
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- num_epochs: 2
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.42.3
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base_model: google-t5/t5-small
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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: my_awesome_opus_books_model
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results: []
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>]()
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>]()
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>]()
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>]()
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# my_awesome_opus_books_model
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This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.2630
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- Bleu: 11.5935
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- Gen Len: 11.9413
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## Model description
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- num_epochs: 2
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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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| 2.578 | 1.0 | 3178 | 2.3047 | 11.3146 | 11.7909 |
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| 2.484 | 2.0 | 6356 | 2.2630 | 11.5935 | 11.9413 |
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### Framework versions
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- Transformers 4.42.3
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generation_config.json
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{
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"_from_model_config": true,
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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{
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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runs/Aug04_11-09-44_e8185cfad283/events.out.tfevents.1722769809.e8185cfad283.34.12
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