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# lmind_nq_v1_reciteonly_qa_tyzhu_lmind_hotpot_train1000_eval200_v1_doc_gpt2-xl

This model is a fine-tuned version of [tyzhu/lmind_hotpot_train1000_eval200_v1_doc_gpt2-xl](https://huggingface.co/tyzhu/lmind_hotpot_train1000_eval200_v1_doc_gpt2-xl) on the tyzhu/lmind_nq_v1_reciteonly_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0797
- Accuracy: 0.5360

## 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: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 3.0268        | 1.0   | 19   | 2.6505          | 0.5274   |
| 2.333         | 2.0   | 38   | 2.4564          | 0.5452   |
| 1.818         | 3.0   | 57   | 2.5252          | 0.5429   |
| 1.3111        | 4.0   | 76   | 2.6702          | 0.5423   |
| 0.9245        | 5.0   | 95   | 2.7873          | 0.5403   |
| 0.6183        | 6.0   | 114  | 2.8904          | 0.5392   |
| 0.5685        | 7.0   | 133  | 2.9992          | 0.5362   |
| 0.4415        | 8.0   | 152  | 3.0344          | 0.5362   |
| 0.3738        | 9.0   | 171  | 3.0659          | 0.5362   |
| 0.3678        | 10.0  | 190  | 3.0797          | 0.5360   |


### 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_v1_reciteonly_qa"], "metrics": ["accuracy"], "base_model": "tyzhu/lmind_hotpot_train1000_eval200_v1_doc_gpt2-xl", "model-index": [{"name": "lmind_nq_v1_reciteonly_qa_tyzhu_lmind_hotpot_train1000_eval200_v1_doc_gpt2-xl", "results": [{"task": {"type": "text-generation", "name": "Causal Language Modeling"}, "dataset": {"name": "tyzhu/lmind_nq_v1_reciteonly_qa", "type": "tyzhu/lmind_nq_v1_reciteonly_qa"}, "metrics": [{"type": "accuracy", "value": 0.5360323886639676, "name": "Accuracy"}]}]}]}
transformers pytorch gpt2 text-generation generated_from_trainer dataset:tyzhu/lmind_nq_v1_reciteonly_qa base_model:tyzhu/lmind_hotpot_train1000_eval200_v1_doc_gpt2-xl license:mit model-index autotrain_compatible endpoints_compatible text-generation-inference region:us