Model save
Browse files- README.md +66 -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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- generated_from_trainer
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model-index:
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- name: ADL_test
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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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# ADL_test
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.9924
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- Rouge-1: 19.8975
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- Rouge-2: 7.0134
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- Rouge-l: 18.2845
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- Gen Len: 14.3786
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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: 2e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 16
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- optimizer: Adafactor
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- lr_scheduler_type: linear
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- num_epochs: 4.0
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### Training results
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| Training Loss | Epoch | Step | Gen Len | Validation Loss | Rouge-1 | Rouge-2 | Rouge-l |
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|:-------------:|:-----:|:----:|:-------:|:---------------:|:-------:|:-------:|:-------:|
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| 6.0773 | 1.0 | 1356 | 11.8835 | 4.1822 | 17.4884 | 6.039 | 16.4024 |
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| 5.0033 | 2.0 | 2713 | 13.385 | 4.0972 | 18.9145 | 6.6873 | 17.5342 |
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| 4.7707 | 3.0 | 4068 | 4.0195 | 19.6237 | 6.9079 | 18.0839 | 13.9958 |
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| 4.7391 | 4.0 | 5424 | 3.9924 | 19.8975 | 7.0134 | 18.2845 | 14.3786 |
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### Framework versions
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- Transformers 4.34.0
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- Pytorch 1.13.1+cu116
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- Datasets 2.14.5
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- Tokenizers 0.14.1
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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": "4.34.0"
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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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size 1200723461
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version https://git-lfs.github.com/spec/v1
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size 1200723461
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