mNLP-project
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gpt2-finetuned-mcqa

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 ---
-# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
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-{}
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 ---
+license: mit
+base_model: openai-community/gpt2
+tags:
+- generated_from_trainer
+model-index:
+- name: gpt2-finetuned-mcqa
+  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. -->
+# gpt2-finetuned-mcqa
+This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.4696
+- Bertscore Precision: 0.1390
+- Bertscore Recall: 0.1471
+- Bertscore F1: 0.1428
+## 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: 3e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+### Training results
+| Training Loss | Epoch  | Step   | Validation Loss | Bertscore Precision | Bertscore Recall | Bertscore F1 |
+|:-------------:|:------:|:------:|:---------------:|:-------------------:|:----------------:|:------------:|
+| 4.6412        | 1.0000 | 11719  | 2.9435          | 0.1223              | 0.1435           | 0.1316       |
+| 4.4659        | 2.0    | 23439  | 2.8198          | 0.1268              | 0.1445           | 0.1346       |
+| 4.1443        | 3.0000 | 35158  | 2.7298          | 0.1326              | 0.1452           | 0.1384       |
+| 4.1037        | 4.0    | 46878  | 2.6608          | 0.1348              | 0.1457           | 0.1399       |
+| 4.0107        | 5.0000 | 58597  | 2.5980          | 0.1338              | 0.1462           | 0.1395       |
+| 4.0216        | 6.0    | 70317  | 2.5494          | 0.1353              | 0.1463           | 0.1404       |
+| 3.5677        | 7.0000 | 82036  | 2.5156          | 0.1371              | 0.1466           | 0.1415       |
+| 3.619         | 8.0    | 93756  | 2.4859          | 0.1376              | 0.1468           | 0.1419       |
+| 3.5389        | 9.0000 | 105475 | 2.4735          | 0.1391              | 0.1470           | 0.1429       |
+| 3.713         | 9.9996 | 117190 | 2.4696          | 0.1390              | 0.1471           | 0.1428       |
+### Framework versions
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

generation_config.json ADDED Viewed

	@@ -0,0 +1,6 @@

+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.40.2"
+}