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: VietAI/vit5-base
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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_version1
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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_version1
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This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2779
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- Rouge1: 0.4859
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- Rouge2: 0.3617
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- Rougel: 0.4218
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- Rougelsum: 0.4417
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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 | 0.3566 | 0.4739 | 0.3369 | 0.4053 | 0.4273 |
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| No log | 2.0 | 490 | 0.3240 | 0.4752 | 0.3453 | 0.4095 | 0.4300 |
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| 0.7518 | 3.0 | 735 | 0.3059 | 0.4760 | 0.3510 | 0.4112 | 0.4311 |
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| 0.7518 | 4.0 | 980 | 0.2951 | 0.4838 | 0.3584 | 0.4164 | 0.4387 |
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| 0.2808 | 5.0 | 1225 | 0.2858 | 0.4799 | 0.3582 | 0.4166 | 0.4368 |
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| 0.2808 | 6.0 | 1470 | 0.2831 | 0.4839 | 0.3611 | 0.4194 | 0.4403 |
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| 0.2351 | 7.0 | 1715 | 0.2814 | 0.4858 | 0.3644 | 0.4218 | 0.4423 |
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| 0.2351 | 8.0 | 1960 | 0.2779 | 0.4850 | 0.3612 | 0.4206 | 0.4416 |
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| 0.2074 | 9.0 | 2205 | 0.2775 | 0.4836 | 0.3590 | 0.4199 | 0.4398 |
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| 0.2074 | 10.0 | 2450 | 0.2779 | 0.4859 | 0.3617 | 0.4218 | 0.4417 |
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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:bb33ff920e14b09735f6e949daf967398a0dc6fa2915d920cc2ef122c52b4f99
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size 903892625
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