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End of training

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  1. README.md +55 -0
  2. config.json +34 -0
  3. generation_config.json +7 -0
  4. model.safetensors +3 -0
  5. runs/Jun25_11-29-23_etabatch9-0/events.out.tfevents.1719314983.etabatch9-0.14692.0 +3 -0
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  14. runs/Jun25_12-48-58_etabatch9-0/events.out.tfevents.1719319748.etabatch9-0.16552.3 +3 -0
  15. runs/Jun25_13-02-09_etabatch9-0/events.out.tfevents.1719320537.etabatch9-0.16552.4 +3 -0
  16. runs/Jun25_13-06-42_etabatch9-0/events.out.tfevents.1719320809.etabatch9-0.16552.5 +3 -0
  17. runs/Jun25_13-08-53_etabatch9-0/events.out.tfevents.1719320936.etabatch9-0.16552.6 +3 -0
  18. runs/Jun26_08-44-52_etabatch9-0/events.out.tfevents.1719391498.etabatch9-0.17373.0 +3 -0
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  22. runs/Jun26_10-23-15_etabatch9-0/events.out.tfevents.1719397401.etabatch9-0.18909.0 +3 -0
  23. runs/Jun27_07-00-21_etabatch9-0/events.out.tfevents.1719471627.etabatch9-0.18909.1 +3 -0
  24. runs/Jun27_07-02-55_etabatch9-0/events.out.tfevents.1719471776.etabatch9-0.20295.0 +3 -0
  25. runs/Jun27_07-05-20_etabatch9-0/events.out.tfevents.1719471921.etabatch9-0.20660.0 +3 -0
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  27. runs/Jun27_07-09-54_etabatch9-0/events.out.tfevents.1719472196.etabatch9-0.21399.0 +3 -0
  28. runs/Jun27_07-18-21_etabatch9-0/events.out.tfevents.1719472702.etabatch9-0.21764.0 +3 -0
  29. training_args.bin +3 -0
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-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 an unknown dataset.
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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: 10
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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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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.1.0a0+29c30b1
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+ - Datasets 2.19.2
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+ - Tokenizers 0.19.1
config.json ADDED
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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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+ "attention_probs_dropout_prob": 0.1,
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+ "bos_token_id": 101,
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+ "classifier_dropout": null,
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+ "eos_token_id": 102,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 1024,
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+ "model_type": "git",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 6,
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+ "num_image_with_embedding": null,
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+ "pad_token_id": 0,
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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": "4.41.2",
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+ "use_cache": true,
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+ "vision_config": {
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+ "dropout": 0.0,
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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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+ "vocab_size": 30522
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+ }
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+ "transformers_version": "4.41.2"
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+ }
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