
<!-- 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. -->

# lmind_hotpot_train1000_eval200_v1_doc_qa_gpt2-large

This model is a fine-tuned version of [gpt2-large](https://huggingface.co/gpt2-large) on the tyzhu/lmind_hotpot_train1000_eval200_v1_doc_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6089
- Accuracy: 0.4879

## 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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.6329        | 1.0   | 106  | 2.7656          | 0.4612   |
| 2.2288        | 2.0   | 212  | 2.5551          | 0.4755   |
| 1.9245        | 3.0   | 318  | 2.5004          | 0.4807   |
| 1.6557        | 4.0   | 424  | 2.4778          | 0.4848   |
| 1.4563        | 5.0   | 530  | 2.4948          | 0.4860   |
| 1.2351        | 6.0   | 636  | 2.5236          | 0.4877   |
| 1.1583        | 7.0   | 742  | 2.5490          | 0.4862   |
| 1.0348        | 8.0   | 848  | 2.5736          | 0.4880   |
| 1.0054        | 9.0   | 954  | 2.5997          | 0.4879   |
| 0.9484        | 10.0  | 1060 | 2.6089          | 0.4879   |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1

{"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["tyzhu/lmind_hotpot_train1000_eval200_v1_doc_qa"], "metrics": ["accuracy"], "base_model": "gpt2-large", "model-index": [{"name": "lmind_hotpot_train1000_eval200_v1_doc_qa_gpt2-large", "results": [{"task": {"type": "text-generation", "name": "Causal Language Modeling"}, "dataset": {"name": "tyzhu/lmind_hotpot_train1000_eval200_v1_doc_qa", "type": "tyzhu/lmind_hotpot_train1000_eval200_v1_doc_qa"}, "metrics": [{"type": "accuracy", "value": 0.4878571428571429, "name": "Accuracy"}]}]}]}
transformers pytorch gpt2 text-generation generated_from_trainer dataset:tyzhu/lmind_hotpot_train1000_eval200_v1_doc_qa base_model:gpt2-large license:mit model-index autotrain_compatible endpoints_compatible text-generation-inference region:us