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# lmind_hotpot_train500_eval300_v1_qa_tyzhu_lmind_hotpot_train500_eval300_v1_docidx_gpt2-xl

This model is a fine-tuned version of [tyzhu/lmind_hotpot_train500_eval300_v1_docidx_gpt2-xl](https://huggingface.co/tyzhu/lmind_hotpot_train500_eval300_v1_docidx_gpt2-xl) on the tyzhu/lmind_hotpot_train500_eval300_v1_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0587
- Accuracy: 0.4884

## 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: constant
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.4413        | 0.5   | 16   | 2.3368          | 0.4912   |
| 2.0665        | 1.0   | 32   | 2.2282          | 0.4962   |
| 1.3983        | 1.5   | 48   | 2.3343          | 0.4965   |
| 1.2522        | 2.0   | 64   | 2.3428          | 0.4959   |
| 0.7517        | 2.5   | 80   | 2.5262          | 0.4928   |
| 0.7474        | 3.0   | 96   | 2.5454          | 0.4934   |
| 0.4623        | 3.5   | 112  | 2.7629          | 0.4899   |
| 0.4844        | 4.0   | 128  | 2.7319          | 0.4885   |
| 0.3635        | 4.5   | 144  | 2.8472          | 0.4901   |
| 0.4185        | 5.0   | 160  | 2.8037          | 0.4892   |
| 0.3457        | 5.5   | 176  | 2.9400          | 0.4860   |
| 0.3328        | 6.0   | 192  | 2.8942          | 0.4878   |
| 0.3101        | 6.5   | 208  | 2.9456          | 0.4875   |
| 0.345         | 7.0   | 224  | 2.8838          | 0.4869   |
| 0.305         | 7.5   | 240  | 3.0375          | 0.4892   |
| 0.3114        | 8.0   | 256  | 3.0084          | 0.4878   |
| 0.2943        | 8.5   | 272  | 3.0433          | 0.4871   |
| 0.313         | 9.0   | 288  | 3.0125          | 0.4879   |
| 0.2796        | 9.5   | 304  | 3.0216          | 0.4867   |
| 0.2808        | 10.0  | 320  | 3.0587          | 0.4884   |


### 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_train500_eval300_v1_qa"], "metrics": ["accuracy"], "base_model": "tyzhu/lmind_hotpot_train500_eval300_v1_docidx_gpt2-xl", "model-index": [{"name": "lmind_hotpot_train500_eval300_v1_qa_tyzhu_lmind_hotpot_train500_eval300_v1_docidx_gpt2-xl", "results": [{"task": {"type": "text-generation", "name": "Causal Language Modeling"}, "dataset": {"name": "tyzhu/lmind_hotpot_train500_eval300_v1_qa", "type": "tyzhu/lmind_hotpot_train500_eval300_v1_qa"}, "metrics": [{"type": "accuracy", "value": 0.4884126984126984, "name": "Accuracy"}]}]}]}
transformers pytorch gpt2 text-generation generated_from_trainer dataset:tyzhu/lmind_hotpot_train500_eval300_v1_qa base_model:tyzhu/lmind_hotpot_train500_eval300_v1_docidx_gpt2-xl license:mit model-index autotrain_compatible endpoints_compatible text-generation-inference region:us