End of training
Browse files- README.md +15 -11
- config.json +1 -1
- generation_config.json +1 -1
- model.safetensors +1 -1
- runs/Jun02_06-40-28_3e2a6de4d5c1/events.out.tfevents.1717310435.3e2a6de4d5c1.35.0 +3 -0
- training_args.bin +1 -1
README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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base_model: gpt2
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model-index:
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- name:
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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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# gpt2out
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 125 | 4.
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| No log | 2.0 | 250 | 3.
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| No log | 3.0 | 375 | 3.
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### Framework versions
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- Transformers 4.
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- Pytorch 2.2
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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---
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license: mit
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base_model: gpt2
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tags:
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- generated_from_trainer
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model-index:
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- name: gpt2coder-8epochs
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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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# gpt2coder-8epochs
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.6054
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## Model description
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 125 | 4.7927 |
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| No log | 2.0 | 250 | 3.7089 |
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| No log | 3.0 | 375 | 3.2773 |
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| 4.5477 | 4.0 | 500 | 3.0126 |
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| 4.5477 | 5.0 | 625 | 2.8363 |
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| 4.5477 | 6.0 | 750 | 2.7137 |
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| 4.5477 | 7.0 | 875 | 2.6372 |
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| 2.8689 | 8.0 | 1000 | 2.6054 |
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### Framework versions
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- Transformers 4.41.1
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- Pytorch 2.1.2
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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config.json
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.
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"use_cache": true,
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"vocab_size": 50257
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}
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.41.1",
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"use_cache": true,
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"vocab_size": 50257
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}
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generation_config.json
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"_from_model_config": true,
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"bos_token_id": 50256,
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"eos_token_id": 50256,
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"transformers_version": "4.
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}
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"_from_model_config": true,
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"bos_token_id": 50256,
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"eos_token_id": 50256,
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"transformers_version": "4.41.1"
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}
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model.safetensors
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runs/Jun02_06-40-28_3e2a6de4d5c1/events.out.tfevents.1717310435.3e2a6de4d5c1.35.0
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training_args.bin
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