geshijoker commited on
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End of training

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README.md ADDED
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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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+ datasets:
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+ - imagefolder
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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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+
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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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+
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+ # git-base-pokemon
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+
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+ This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on the imagefolder dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1599
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+ - Wer Score: 5.0450
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 50
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer Score |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|
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+ | 7.1299 | 12.5 | 50 | 4.6555 | 17.9965 |
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+ | 2.9648 | 25.0 | 100 | 1.3396 | 9.0415 |
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+ | 0.714 | 37.5 | 150 | 0.2845 | 7.8824 |
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+ | 0.1933 | 50.0 | 200 | 0.1599 | 5.0450 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.0.dev0
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+ - Pytorch 2.2.1+cu118
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+ - Datasets 2.19.2
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+ - Tokenizers 0.19.1
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+ {
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+ "_from_model_config": true,
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+ "eos_token_id": 102,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.45.0.dev0"
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+ }
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