yihongwang
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End of training
Browse files- README.md +69 -0
- generation_config.json +6 -0
README.md
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---
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library_name: transformers
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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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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: my_billsum_model
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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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# my_billsum_model
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This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.5593
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- Rouge1: 0.1425
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- Rouge2: 0.053
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- Rougel: 0.1186
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- Rougelsum: 0.1188
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- Gen Len: 19.0
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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: 16
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- eval_batch_size: 16
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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: 4
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| No log | 1.0 | 62 | 2.8332 | 0.1229 | 0.0373 | 0.0996 | 0.0997 | 19.0 |
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| No log | 2.0 | 124 | 2.6310 | 0.1338 | 0.0456 | 0.1099 | 0.1099 | 19.0 |
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| No log | 3.0 | 186 | 2.5732 | 0.139 | 0.0496 | 0.1156 | 0.1157 | 19.0 |
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| No log | 4.0 | 248 | 2.5593 | 0.1425 | 0.053 | 0.1186 | 0.1188 | 19.0 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Datasets 2.21.0
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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": "4.44.2"
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}
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