Commit
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67c6a1a
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Parent(s):
386feb9
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: 3.0280
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- Rouge1: 17.3563
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- Rouge2: 8.6193
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- Rougel: 17.081
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- Rougelsum: 17.1297
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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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| 7.0507 | 1.0 | 1209 | 3.3225 | 12.6324 | 4.7979 | 12.3957 | 12.4312 |
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| 3.9068 | 2.0 | 2418 | 3.1852 | 16.432 | 8.2165 | 15.7321 | 15.789 |
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| 3.5973 | 3.0 | 3627 | 3.0834 | 16.912 | 8.2736 | 16.3027 | 16.3174 |
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| 3.4111 | 4.0 | 4836 | 3.0560 | 16.8768 | 8.0417 | 16.209 | 16.2473 |
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| 3.318 | 5.0 | 6045 | 3.0464 | 17.5367 | 8.364 | 16.9286 | 16.9249 |
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| 3.2435 | 6.0 | 7254 | 3.0371 | 17.3217 | 8.398 | 16.9066 | 17.0021 |
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| 3.202 | 7.0 | 8463 | 3.0347 | 17.1712 | 8.0887 | 16.7378 | 16.748 |
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| 3.1799 | 8.0 | 9672 | 3.0280 | 17.3563 | 8.6193 | 17.081 | 17.1297 |
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### Framework versions
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- Transformers 4.33.2
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- Pytorch 2.0.1+cu118
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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 1200772613
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version https://git-lfs.github.com/spec/v1
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oid sha256:3d8acb58a67dc4eaea8a9e5cef30c441e78be6d8eb29a9cf2aa69bfd5f62c8f2
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size 1200772613
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