End of training
Browse files- README.md +68 -0
- config.json +65 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- runs/Dec23_06-55-57_0664e86b35ce/events.out.tfevents.1703314564.0664e86b35ce.711.0 +3 -0
- special_tokens_map.json +6 -0
- tokenizer.json +0 -0
- tokenizer_config.json +20 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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language:
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- en
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license: mit
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base_model: gpt2
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tags:
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- pytorch
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- GPT2ForSequenceClassification
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- generated_from_trainer
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metrics:
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- accuracy
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- matthews_correlation
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model-index:
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- name: GPT2-genre-detection
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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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# GPT2-genre-detection
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the datadrivenscience/movie-genre-prediction dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5267
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- Accuracy: 0.4593
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- Matthews Correlation: 0.1010
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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: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 32
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- seed: 85855289
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.05
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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Matthews Correlation |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------------------:|
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| 1.5765 | 1.0 | 10125 | 1.5562 | 0.4589 | 0.0899 |
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| 1.5058 | 2.0 | 20250 | 1.5267 | 0.4593 | 0.1010 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.0
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- Tokenizers 0.15.0
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config.json
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{
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"_name_or_path": "gpt2",
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"activation_function": "gelu_new",
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"architectures": [
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"GPT2ForSequenceClassification"
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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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"id2label": {
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"0": "horror",
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"1": "adventure",
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"2": "action",
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"3": "crime",
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"4": "mystery",
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"5": "family",
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"6": "scifi",
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"7": "thriller",
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"8": "fantasy",
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"9": "romance"
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},
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"initializer_range": 0.02,
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"label2id": {
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"action": 2,
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"adventure": 1,
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"crime": 3,
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"family": 5,
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"fantasy": 8,
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"horror": 0,
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"mystery": 4,
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"romance": 9,
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"scifi": 6,
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"thriller": 7
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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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"n_head": 12,
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"n_inner": null,
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"n_layer": 12,
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"n_positions": 1024,
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"pad_token_id": 50256,
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"problem_type": "single_label_classification",
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"reorder_and_upcast_attn": false,
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"resid_pdrop": 0.1,
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"scale_attn_by_inverse_layer_idx": false,
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"scale_attn_weights": true,
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"summary_activation": null,
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"summary_first_dropout": 0.1,
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"summary_proj_to_labels": true,
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"summary_type": "cls_index",
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"summary_use_proj": true,
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"task_specific_params": {
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"text-generation": {
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"do_sample": true,
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"max_length": 50
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.36.2",
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"use_cache": true,
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"vocab_size": 50257
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}
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merges.txt
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bfa645ef4b477106c3dd7f75e63c47ae1b7da421362066514e341216d613c854
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size 497805008
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runs/Dec23_06-55-57_0664e86b35ce/events.out.tfevents.1703314564.0664e86b35ce.711.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:edbab931e62c56bda7b38599164eaef4e24ddb275e95c0c3d25db9ba015c027c
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size 38036
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special_tokens_map.json
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{
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"bos_token": "<|endoftext|>",
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"eos_token": "<|endoftext|>",
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"pad_token": "<|endoftext|>",
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"unk_token": "<|endoftext|>"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"50256": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<|endoftext|>",
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|endoftext|>",
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"model_max_length": 1024,
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"pad_token": "<|endoftext|>",
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"tokenizer_class": "GPT2Tokenizer",
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"unk_token": "<|endoftext|>"
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}
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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:cc265261665e43c5feef7948f5ad264fe7eb2c302241a9b1ab59f0b3c6e04c65
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size 4728
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vocab.json
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