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# _lmind_nq_full_v1_qa__lmind_nq_full_v1_doc_gpt2-large

This model is a fine-tuned version of [tyzhu/lmind_nq_full_v1_doc_gpt2-large](https://huggingface.co/tyzhu/lmind_nq_full_v1_doc_gpt2-large) on the tyzhu/lmind_nq_full_v1_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0163
- Accuracy: 0.5793

## 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: 2e-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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.5672        | 1.0   | 1832  | 1.8362          | 0.5723   |
| 1.382         | 2.0   | 3664  | 1.8154          | 0.5764   |
| 1.2025        | 3.0   | 5496  | 1.8516          | 0.5775   |
| 1.0569        | 4.0   | 7328  | 1.8785          | 0.5782   |
| 0.9542        | 5.0   | 9160  | 1.9161          | 0.5783   |
| 0.8728        | 6.0   | 10992 | 1.9398          | 0.5789   |
| 0.8123        | 7.0   | 12824 | 1.9620          | 0.5792   |
| 0.7657        | 8.0   | 14656 | 1.9869          | 0.5794   |
| 0.7328        | 9.0   | 16488 | 2.0024          | 0.5795   |
| 0.7037        | 10.0  | 18320 | 2.0163          | 0.5793   |


### 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_nq_full_v1_qa"], "metrics": ["accuracy"], "base_model": "tyzhu/lmind_nq_full_v1_doc_gpt2-large", "model-index": [{"name": "_lmind_nq_full_v1_qa__lmind_nq_full_v1_doc_gpt2-large", "results": [{"task": {"type": "text-generation", "name": "Causal Language Modeling"}, "dataset": {"name": "tyzhu/lmind_nq_full_v1_qa", "type": "tyzhu/lmind_nq_full_v1_qa"}, "metrics": [{"type": "accuracy", "value": 0.5793433463336376, "name": "Accuracy"}]}]}]}
transformers pytorch gpt2 text-generation generated_from_trainer dataset:tyzhu/lmind_nq_full_v1_qa base_model:tyzhu/lmind_nq_full_v1_doc_gpt2-large license:mit model-index autotrain_compatible endpoints_compatible text-generation-inference region:us