End of training

README.md

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+---
+license: mit
+base_model: openai-community/gpt2
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: gpt2-finetuned-mcqa-sciq2-safety
+  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-sciq2-safety
+
+This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7824
+- Bleu: 0.0816
+- Bertscore Precision: 0.4316
+- Bertscore Recall: 0.4553
+- Bertscore F1: 0.4431
+
+## 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 | Bleu   | Bertscore Precision | Bertscore Recall | Bertscore F1 |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------------------:|:----------------:|:------------:|
+| 1.917         | 1.0   | 1460  | 1.8258          | 0.0856 | 0.4279              | 0.4541           | 0.4406       |
+| 1.7299        | 2.0   | 2920  | 1.7928          | 0.0789 | 0.4311              | 0.4549           | 0.4427       |
+| 1.6342        | 3.0   | 4380  | 1.7870          | 0.0858 | 0.4315              | 0.4542           | 0.4425       |
+| 1.5534        | 4.0   | 5840  | 1.7824          | 0.0816 | 0.4316              | 0.4553           | 0.4431       |
+| 1.4878        | 5.0   | 7300  | 1.7909          | 0.0797 | 0.4315              | 0.4556           | 0.4432       |
+| 1.4554        | 6.0   | 8760  | 1.8021          | 0.0772 | 0.4312              | 0.4557           | 0.4431       |
+| 1.3981        | 7.0   | 10220 | 1.8103          | 0.0767 | 0.4314              | 0.4558           | 0.4433       |
+| 1.3712        | 8.0   | 11680 | 1.8242          | 0.0427 | 0.4315              | 0.4561           | 0.4434       |
+| 1.3431        | 9.0   | 13140 | 1.8338          | 0.0416 | 0.4315              | 0.4560           | 0.4434       |
+| 1.3354        | 10.0  | 14600 | 1.8390          | 0.0420 | 0.4315              | 0.4560           | 0.4434       |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

generation_config.json

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

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:2debc15754e593295f780b73331cc93888cf0bbb579f1805a2e7418949d5d4ae
 size 497774208