End of training
Browse files- README.md +65 -0
- generation_config.json +7 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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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: git-base-pokemon
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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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# git-base-pokemon
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This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0391
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- Wer Score: 2.3433
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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: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 64
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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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- 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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| No log | 2.0833 | 25 | 0.0365 | 3.3472 |
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| 0.0022 | 4.1667 | 50 | 0.0383 | 2.3199 |
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| 0.0022 | 6.25 | 75 | 0.0384 | 2.8114 |
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| 0.0005 | 8.3333 | 100 | 0.0391 | 2.3433 |
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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 3.0.1
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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": "4.44.2"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 706516040
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version https://git-lfs.github.com/spec/v1
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oid sha256:48c0a825187b2e96f4b6dca76545ef27a38b949454cfb8be638e2394364287c0
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size 706516040
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