Model save
Browse files- README.md +66 -0
- generation_config.json +6 -0
README.md
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---
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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: ViT-RadBert_Mimic
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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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# ViT-RadBert_Mimic
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4024
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- Rouge1: 12.4067
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- Rouge2: 0.0
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- Rougel: 12.3221
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- Rougelsum: 12.5107
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- Gen Len: 20.0
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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: 5e-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: 5
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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 | 25 | 0.4603 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
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| No log | 2.0 | 50 | 0.4319 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
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| No log | 3.0 | 75 | 0.4115 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
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| No log | 4.0 | 100 | 0.4034 | 0.8274 | 0.0 | 0.8 | 0.8274 | 20.0 |
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| No log | 5.0 | 125 | 0.4024 | 12.4067 | 0.0 | 12.3221 | 12.5107 | 20.0 |
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### Framework versions
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- Transformers 4.37.1
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- Pytorch 1.13.1+cu117
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- Datasets 2.15.0
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- Tokenizers 0.15.1
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generation_config.json
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{
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"bos_token_id": 0,
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"eos_token_id": 2,
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"pad_token_id": 1,
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"transformers_version": "4.37.1"
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}
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