End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: Salesforce/blip2-opt-2.7b
+tags:
+- generated_from_trainer
+model-index:
+- name: blip-gqa-ft-trial2
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# blip-gqa-ft-trial2
+
+This model is a fine-tuned version of [Salesforce/blip2-opt-2.7b](https://huggingface.co/Salesforce/blip2-opt-2.7b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8559
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.0074        | 1.0    | 313  | 2.0112          |
+| 1.7625        | 2.0    | 626  | 1.9272          |
+| 1.853         | 3.0    | 939  | 1.8629          |
+| 1.6087        | 4.0    | 1252 | 1.8508          |
+| 1.6017        | 4.9856 | 1560 | 1.8559          |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.4.0+cu121
+- Datasets 3.5.0
+- Tokenizers 0.21.1

added_tokens.json

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generation_config.json

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+  "bos_token_id": 2,
+  "eos_token_id": 50118,
+  "pad_token_id": 1,
+  "transformers_version": "4.51.3"
+}

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special_tokens_map.json

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+    "rstrip": false,
+    "single_word": false
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tokenizer_config.json

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+  "errors": "replace",
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+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "processor_class": "Blip2Processor",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "</s>"
+}