End of training
Browse files- README.md +72 -0
- generation_config.json +6 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: mit
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base_model: KingLTD/pretrain_Law_model_vit5_version1
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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: pretrain_Law_model_vit5_version2
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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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# pretrain_Law_model_vit5_version2
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This model is a fine-tuned version of [KingLTD/pretrain_Law_model_vit5_version1](https://huggingface.co/KingLTD/pretrain_Law_model_vit5_version1) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1644
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- Rouge1: 0.4902
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- Rouge2: 0.3828
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- Rougel: 0.4363
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- Rougelsum: 0.4521
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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: 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: 10
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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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| No log | 1.0 | 245 | 0.1692 | 0.4844 | 0.3722 | 0.4279 | 0.4439 |
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| No log | 2.0 | 490 | 0.1664 | 0.4846 | 0.3719 | 0.4261 | 0.4442 |
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| 0.2198 | 3.0 | 735 | 0.1636 | 0.4840 | 0.3752 | 0.4292 | 0.4443 |
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| 0.2198 | 4.0 | 980 | 0.1628 | 0.4878 | 0.3754 | 0.4300 | 0.4468 |
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| 0.178 | 5.0 | 1225 | 0.1621 | 0.4871 | 0.3791 | 0.4349 | 0.4494 |
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| 0.178 | 6.0 | 1470 | 0.1625 | 0.4881 | 0.3782 | 0.4328 | 0.4495 |
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| 0.1466 | 7.0 | 1715 | 0.1636 | 0.4910 | 0.3837 | 0.4383 | 0.4538 |
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| 0.1466 | 8.0 | 1960 | 0.1633 | 0.4890 | 0.3802 | 0.4343 | 0.4506 |
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| 0.1307 | 9.0 | 2205 | 0.1642 | 0.4904 | 0.3836 | 0.4364 | 0.4531 |
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| 0.1307 | 10.0 | 2450 | 0.1644 | 0.4902 | 0.3828 | 0.4363 | 0.4521 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.0.1+cu118
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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 903892625
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version https://git-lfs.github.com/spec/v1
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oid sha256:a572c13369bd912e5538eb8e37a87b5db58a5f674dd5ef6e5e205a2394dfcc48
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size 903892625
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