End of training
Browse files- README.md +60 -0
- config.json +34 -0
- generation_config.json +7 -0
- pytorch_model.bin +3 -0
- training_args.bin +3 -0
README.md
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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-env
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results: []
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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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# git-base-env
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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: 4.0922
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- Wer Score: 16.2039
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 1
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- eval_batch_size: 1
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- seed: 42
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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: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer Score |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|
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| 8.6797 | 0.3 | 30 | 6.9086 | 46.3882 |
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| 6.0221 | 0.61 | 60 | 5.0189 | 17.6447 |
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| 4.5819 | 0.91 | 90 | 4.0922 | 16.2039 |
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### Framework versions
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- Transformers 4.34.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.14.0
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config.json
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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": "4.34.0",
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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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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 101,
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"eos_token_id": 102,
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"pad_token_id": 0,
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"transformers_version": "4.34.0"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:fa621223a81c9e914e3e1945fc31fe7d52ca722bdcaa5165c1e6eba404911f42
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size 706584273
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:3679bee832094f58e650803df21786c544b30d2a797fd5a47d537de6e023e9c1
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size 4027
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