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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: bsd-3-clause
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+ base_model: Salesforce/blip-image-captioning-large
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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: blip-image-captioning-large-shyam
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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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+ # blip-image-captioning-large-shyam
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+
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+ This model is a fine-tuned version of [Salesforce/blip-image-captioning-large](https://huggingface.co/Salesforce/blip-image-captioning-large) on the imagefolder dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0217
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+ - Wer Score: 0.25
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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: 2
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 15
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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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+ | 6.6439 | 3.5714 | 50 | 3.4493 | 0.5833 |
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+ | 1.4414 | 7.1429 | 100 | 0.2345 | 0.375 |
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+ | 0.0696 | 10.7143 | 150 | 0.0300 | 0.375 |
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+ | 0.0089 | 14.2857 | 200 | 0.0217 | 0.25 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.0.dev0
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.0
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "bos_token_id": 30522,
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+ "eos_token_id": 2,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.46.0.dev0"
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+ }
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