add model
Browse files- README.md +7 -7
- config.json +3 -1
- pytorch_model.bin +1 -1
- runs/Aug19_10-11-15_a08bd7a25748/1629367894.5506911/events.out.tfevents.1629367894.a08bd7a25748.75.4 +3 -0
- runs/Aug19_10-11-15_a08bd7a25748/events.out.tfevents.1629367894.a08bd7a25748.75.3 +3 -0
- runs/Aug19_10-13-56_a08bd7a25748/1629368049.1363611/events.out.tfevents.1629368049.a08bd7a25748.75.6 +3 -0
- runs/Aug19_10-13-56_a08bd7a25748/events.out.tfevents.1629368049.a08bd7a25748.75.5 +3 -0
- runs/Aug19_10-13-56_a08bd7a25748/events.out.tfevents.1629368588.a08bd7a25748.75.7 +3 -0
- tokenizer_config.json +1 -1
- training_args.bin +1 -1
README.md
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# distilgpt2-finetuned-distilgpt2-med_articles
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This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 |
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### Framework versions
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# distilgpt2-finetuned-distilgpt2-med_articles
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This model is a fine-tuned version of [vishnun/distilgpt2-finetuned-distilgpt2-med_articles](https://huggingface.co/vishnun/distilgpt2-finetuned-distilgpt2-med_articles) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.3171
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 65 | 3.3417 |
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| No log | 2.0 | 130 | 3.3300 |
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| No log | 3.0 | 195 | 3.3231 |
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| No log | 4.0 | 260 | 3.3172 |
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| No log | 5.0 | 325 | 3.3171 |
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### Framework versions
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config.json
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{
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"_name_or_path": "distilgpt2",
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"_num_labels": 1,
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"activation_function": "gelu_new",
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"architectures": [
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],
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"attn_pdrop": 0.1,
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"bos_token_id": 50256,
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"embd_pdrop": 0.1,
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"eos_token_id": 50256,
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"gradient_checkpointing": false,
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"LABEL_0": 0
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},
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"layer_norm_epsilon": 1e-05,
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"model_type": "gpt2",
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"n_ctx": 1024,
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"n_embd": 768,
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{
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"_name_or_path": "vishnun/distilgpt2-finetuned-distilgpt2-med_articles",
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"_num_labels": 1,
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"activation_function": "gelu_new",
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"architectures": [
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],
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"attn_pdrop": 0.1,
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"bos_token_id": 50256,
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"do_sample": true,
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"embd_pdrop": 0.1,
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"eos_token_id": 50256,
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"gradient_checkpointing": false,
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"LABEL_0": 0
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},
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"layer_norm_epsilon": 1e-05,
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"max_length": 50,
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"model_type": "gpt2",
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"n_ctx": 1024,
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"n_embd": 768,
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pytorch_model.bin
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runs/Aug19_10-11-15_a08bd7a25748/1629367894.5506911/events.out.tfevents.1629367894.a08bd7a25748.75.4
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runs/Aug19_10-13-56_a08bd7a25748/events.out.tfevents.1629368049.a08bd7a25748.75.5
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runs/Aug19_10-13-56_a08bd7a25748/events.out.tfevents.1629368588.a08bd7a25748.75.7
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tokenizer_config.json
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{"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "add_prefix_space": false, "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "distilgpt2", "tokenizer_class": "GPT2Tokenizer"}
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{"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "add_prefix_space": false, "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "vishnun/distilgpt2-finetuned-distilgpt2-med_articles", "tokenizer_class": "GPT2Tokenizer"}
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training_args.bin
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