Training complete
Browse files- README.md +71 -0
- generation_config.json +6 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model: google/mt5-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: mt5-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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# mt5-small-finetuned-amazon-en-es
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.0270
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- Rouge1: 16.8614
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- Rouge2: 8.3352
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- Rougel: 16.5595
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- Rougelsum: 16.5755
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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: 8
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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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| 7.376 | 1.0 | 1209 | 3.3114 | 13.6834 | 5.4759 | 13.2778 | 13.3315 |
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| 3.9197 | 2.0 | 2418 | 3.1662 | 15.4107 | 7.396 | 15.0443 | 15.0493 |
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| 3.5954 | 3.0 | 3627 | 3.0844 | 15.4126 | 7.2537 | 15.0816 | 15.1281 |
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| 3.4243 | 4.0 | 4836 | 3.0384 | 15.9869 | 7.7568 | 15.7054 | 15.6149 |
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| 3.3145 | 5.0 | 6045 | 3.0512 | 17.3119 | 8.412 | 16.8461 | 16.7631 |
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| 3.2597 | 6.0 | 7254 | 3.0237 | 16.7165 | 7.9706 | 16.4276 | 16.3935 |
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| 3.2094 | 7.0 | 8463 | 3.0308 | 17.4737 | 8.7048 | 17.0836 | 17.0624 |
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| 3.1886 | 8.0 | 9672 | 3.0270 | 16.8614 | 8.3352 | 16.5595 | 16.5755 |
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### Framework versions
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- Transformers 4.33.2
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- Pytorch 2.0.1+cpu
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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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": "4.33.2"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 1200769925
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version https://git-lfs.github.com/spec/v1
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oid sha256:9677914c94f0f060b951a55d0da980bfa67ad21dd7c89cd4995a0b2948d3edea
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size 1200769925
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