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mrSoul7766/git-base-instagram-cap

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  1. README.md +73 -0
  2. config.json +4 -76
  3. generation_config.json +7 -0
  4. model.safetensors +1 -1
README.md ADDED
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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: git-base-instagram-cap
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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-instagram-cap
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1859
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+ - Wer Score: 1.0566
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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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+ | 7.3647 | 3.85 | 50 | 4.5576 | 1.0161 |
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+ | 2.4064 | 7.69 | 100 | 0.5626 | 0.9656 |
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+ | 0.2425 | 11.54 | 150 | 0.1644 | 0.8256 |
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+ | 0.0894 | 15.38 | 200 | 0.1631 | 0.8623 |
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+ | 0.0636 | 19.23 | 250 | 0.1660 | 0.8730 |
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+ | 0.0472 | 23.08 | 300 | 0.1701 | 0.8783 |
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+ | 0.0384 | 26.92 | 350 | 0.1743 | 0.8692 |
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+ | 0.0327 | 30.77 | 400 | 0.1778 | 0.8814 |
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+ | 0.0286 | 34.62 | 450 | 0.1791 | 0.8891 |
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+ | 0.0242 | 38.46 | 500 | 0.1818 | 0.8982 |
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+ | 0.0187 | 42.31 | 550 | 0.1831 | 0.9120 |
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+ | 0.0141 | 46.15 | 600 | 0.1856 | 1.0092 |
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+ | 0.012 | 50.0 | 650 | 0.1859 | 1.0566 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.0.dev0
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
config.json CHANGED
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  {
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  "architectures": [
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  "GitForCausalLM"
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  ],
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  "position_embedding_type": "absolute",
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  "tie_word_embeddings": false,
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  "torch_dtype": "float32",
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- "layer_norm_eps": 1e-05,
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  "model_type": "git_vision_model",
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- "no_repeat_ngram_size": 0,
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- "num_attention_heads": 12,
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- "num_beam_groups": 1,
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- "num_beams": 1,
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- "num_channels": 3,
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- "num_hidden_layers": 12,
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- "num_return_sequences": 1,
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- "transformers_version": "4.26.0.dev0",
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- "typical_p": 1.0,
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- "use_bfloat16": false
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  },
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  "vocab_size": 30522
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- }
 
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  {
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+ "_name_or_path": "microsoft/git-base",
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  "architectures": [
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  "GitForCausalLM"
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  ],
 
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  "position_embedding_type": "absolute",
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  "tie_word_embeddings": false,
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  "torch_dtype": "float32",
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+ "transformers_version": "4.37.0.dev0",
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  "use_cache": true,
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  "initializer_factor": 1.0,
 
 
 
 
 
 
 
 
 
 
 
 
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  "model_type": "git_vision_model",
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+ "projection_dim": 512
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  },
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+ }
generation_config.json ADDED
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+ "transformers_version": "4.37.0.dev0"
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+ }
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