fresh-2-layer-medmcqa20000-distill-of-fresh-2-layer-gpqa_EVAL_gpqa

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: fresh-2-layer-medmcqa20000-distill-of-fresh-2-layer-gpqa_EVAL_gpqa
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# fresh-2-layer-medmcqa20000-distill-of-fresh-2-layer-gpqa_EVAL_gpqa
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 6.0579
+- Accuracy: 0.7222
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0005
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 321
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 5000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 0.16  | 100  | 15.7756         | 0.3838   |
+| No log        | 0.32  | 200  | 11.4980         | 0.5152   |
+| No log        | 0.48  | 300  | 9.4964          | 0.5909   |
+| No log        | 0.64  | 400  | 8.9627          | 0.6212   |
+| 3.5065        | 0.8   | 500  | 8.5232          | 0.6061   |
+| 3.5065        | 0.96  | 600  | 7.7951          | 0.6717   |
+| 3.5065        | 1.12  | 700  | 8.2685          | 0.6616   |
+| 3.5065        | 1.28  | 800  | 7.1380          | 0.6869   |
+| 3.5065        | 1.44  | 900  | 7.3768          | 0.6818   |
+| 0.9883        | 1.6   | 1000 | 6.9322          | 0.6970   |
+| 0.9883        | 1.76  | 1100 | 6.7062          | 0.6818   |
+| 0.9883        | 1.92  | 1200 | 6.6068          | 0.6919   |
+| 0.9883        | 2.08  | 1300 | 6.3543          | 0.6818   |
+| 0.9883        | 2.24  | 1400 | 6.0225          | 0.7020   |
+| 0.5892        | 2.4   | 1500 | 6.6609          | 0.6667   |
+| 0.5892        | 2.56  | 1600 | 6.3811          | 0.6919   |
+| 0.5892        | 2.72  | 1700 | 6.2649          | 0.6970   |
+| 0.5892        | 2.88  | 1800 | 6.8477          | 0.6919   |
+| 0.5892        | 3.04  | 1900 | 5.6575          | 0.7071   |
+| 0.4134        | 3.2   | 2000 | 5.8076          | 0.7071   |
+| 0.4134        | 3.36  | 2100 | 6.0579          | 0.7222   |
+| 0.4134        | 3.52  | 2200 | 5.7613          | 0.6970   |
+| 0.4134        | 3.68  | 2300 | 5.6748          | 0.7222   |
+| 0.4134        | 3.84  | 2400 | 5.8306          | 0.7121   |
+| 0.3115        | 4.0   | 2500 | 5.7578          | 0.7071   |
+| 0.3115        | 4.16  | 2600 | 5.5201          | 0.7172   |
+
+
+### Framework versions
+
+- Transformers 4.34.0.dev0
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- Tokenizers 0.14.0

config.json

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+{
+  "architectures": [
+    "BertForMultipleChoice"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 512,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 8,
+  "num_hidden_layers": 2,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.34.0.dev0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

pytorch_model.bin

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special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
+      "normalized": false,
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+      "single_word": false,
+      "special": true
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+    "103": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [],
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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