Model save
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README.md
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---
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license: mit
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base_model: microsoft/git-base
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tags:
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- generated_from_trainer
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model-index:
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- name: output_dir
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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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# output_dir
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This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8219
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- Wer Score: 4.3488
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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: 1
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- eval_batch_size: 1
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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: 3
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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 | Wer Score |
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|:-------------:|:------:|:----:|:---------------:|:---------:|
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| 7.5175 | 0.9091 | 50 | 5.0110 | 10.6279 |
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| 3.4896 | 1.8182 | 100 | 1.9416 | 5.2326 |
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| 1.353 | 2.7273 | 150 | 0.8219 | 4.3488 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 101,
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"eos_token_id": 102,
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"pad_token_id": 0,
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"transformers_version": "4.41.2"
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}
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runs/Jun24_20-06-00_8e3b1ee642f7/events.out.tfevents.1719259560.8e3b1ee642f7.3835.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:431b1de741cd6e0b585fd3ff8f7b118d082f52ecc30d418f5635375c1c57a508
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size 6975
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