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: 3.2629
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- Rouge1: 19.7332
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- Rouge2: 10.4613
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- Rougel: 18.6425
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- Rougelsum: 18.8116
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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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| 9.1364 | 1.0 | 589 | 3.5408 | 14.3515 | 5.3824 | 14.2034 | 14.1358 |
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| 4.2365 | 2.0 | 1178 | 3.3891 | 17.8799 | 7.7088 | 17.1443 | 17.2266 |
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| 3.8171 | 3.0 | 1767 | 3.3303 | 21.0055 | 10.3132 | 19.9583 | 19.8408 |
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| 3.6164 | 4.0 | 2356 | 3.2909 | 19.7277 | 10.2522 | 18.6633 | 18.8049 |
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| 3.506 | 5.0 | 2945 | 3.2994 | 20.5969 | 10.5213 | 19.35 | 19.3436 |
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| 3.4122 | 6.0 | 3534 | 3.2715 | 18.2196 | 9.6013 | 17.1232 | 17.2425 |
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| 3.3635 | 7.0 | 4123 | 3.2582 | 19.0426 | 10.339 | 17.9558 | 18.1044 |
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| 3.3409 | 8.0 | 4712 | 3.2629 | 19.7332 | 10.4613 | 18.6425 | 18.8116 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.0.0
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- Datasets 2.14.4
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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": "4.32.1"
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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 sha256:47a7bb2f17e80728108eae646cd0e2ddfdebe14d9b8c7822a0053e570deb8ce9
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size 1200772613
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