Training complete
Browse files- README.md +66 -0
- generation_config.json +6 -0
- model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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base_model: google-t5/t5-small
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tags:
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- summarization
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: t5-small-finetuned-amazon-en-es
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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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# t5-small-finetuned-amazon-en-es
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This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.7222
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- Rouge1: 0.1727
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- Rouge2: 0.097
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- Rougel: 0.1656
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- Rougelsum: 0.1658
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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: 5.6e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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| 3.4341 | 1.0 | 177 | 2.7998 | 0.1591 | 0.0791 | 0.1522 | 0.1523 |
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| 3.0944 | 2.0 | 354 | 2.7304 | 0.1701 | 0.0908 | 0.162 | 0.1617 |
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| 2.9919 | 3.0 | 531 | 2.7222 | 0.1727 | 0.097 | 0.1656 | 0.1658 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.1+cpu
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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generation_config.json
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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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"transformers_version": "4.41.2"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 242041896
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version https://git-lfs.github.com/spec/v1
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size 242041896
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