fresh-2-layer-qasc2000-distill-of-fresh-2-layer-gpqa_EVAL_gpqa
Browse files- README.md +69 -0
- config.json +24 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +56 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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---
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: fresh-2-layer-qasc2000-distill-of-fresh-2-layer-gpqa_EVAL_gpqa
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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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# fresh-2-layer-qasc2000-distill-of-fresh-2-layer-gpqa_EVAL_gpqa
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 14.9062
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- Accuracy: 0.4192
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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: 0.0005
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 321
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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_steps: 500
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- training_steps: 5000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.59 | 100 | 14.0964 | 0.2980 |
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| No log | 3.17 | 200 | 15.9598 | 0.3788 |
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| No log | 4.76 | 300 | 14.9387 | 0.4091 |
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| No log | 6.35 | 400 | 14.1750 | 0.4091 |
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| 1.6819 | 7.94 | 500 | 16.7634 | 0.4091 |
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| 1.6819 | 9.52 | 600 | 14.9062 | 0.4192 |
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| 1.6819 | 11.11 | 700 | 13.9546 | 0.4091 |
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| 1.6819 | 12.7 | 800 | 14.2041 | 0.4091 |
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| 1.6819 | 14.29 | 900 | 15.2506 | 0.4040 |
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| 0.2306 | 15.87 | 1000 | 14.9041 | 0.4091 |
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| 0.2306 | 17.46 | 1100 | 14.9118 | 0.4141 |
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### Framework versions
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- Transformers 4.34.0.dev0
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- Pytorch 2.0.1+cu117
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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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"architectures": [
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"BertForMultipleChoice"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 512,
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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": 512,
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"model_type": "bert",
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"num_attention_heads": 8,
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"num_hidden_layers": 2,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.34.0.dev0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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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 sha256:3ce3026b6ee7d418da2f4aae0c5282fb51577e06fd4e847ea5f1fcd4763f3a65
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size 98247916
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special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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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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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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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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"100": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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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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"101": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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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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"102": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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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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"103": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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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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"additional_special_tokens": [],
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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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:fe145421bb38703469b6078ad0c8a4ab4db77f21b63d1d87b3b7d491a0ec4fde
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size 4091
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vocab.txt
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