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# lmind_hotpot_train500_eval300_v1_qa_gpt2-xl

This model is a fine-tuned version of [gpt2-xl](https://huggingface.co/gpt2-xl) on the tyzhu/lmind_hotpot_train500_eval300_v1_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 3.9168
- Accuracy: 0.4405

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 3.5721        | 0.5   | 16   | 3.2348          | 0.4317   |
| 2.8415        | 1.0   | 32   | 2.9648          | 0.4456   |
| 2.4706        | 1.5   | 48   | 2.9567          | 0.4485   |
| 2.2728        | 2.0   | 64   | 2.9440          | 0.4492   |
| 1.4684        | 2.5   | 80   | 3.1604          | 0.4479   |
| 1.3676        | 3.0   | 96   | 3.1676          | 0.4455   |
| 0.8489        | 3.5   | 112  | 3.4467          | 0.4419   |
| 0.8364        | 4.0   | 128  | 3.4884          | 0.4410   |
| 0.5036        | 4.5   | 144  | 3.6321          | 0.4414   |
| 0.5571        | 5.0   | 160  | 3.6247          | 0.4412   |
| 0.4168        | 5.5   | 176  | 3.7452          | 0.4390   |
| 0.4173        | 6.0   | 192  | 3.6964          | 0.4418   |
| 0.3301        | 6.5   | 208  | 3.8107          | 0.4405   |
| 0.4           | 7.0   | 224  | 3.8106          | 0.4381   |
| 0.3227        | 7.5   | 240  | 3.8697          | 0.4430   |
| 0.344         | 8.0   | 256  | 3.9028          | 0.4403   |
| 0.3383        | 8.5   | 272  | 3.9008          | 0.4403   |
| 0.3025        | 9.0   | 288  | 3.8824          | 0.4411   |
| 0.3103        | 9.5   | 304  | 3.9318          | 0.4399   |
| 0.301         | 10.0  | 320  | 3.9168          | 0.4405   |


### 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": "gpt2-xl", "model-index": [{"name": "lmind_hotpot_train500_eval300_v1_qa_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": 0.44047619047619047, "name": "Accuracy"}]}]}]}
transformers pytorch gpt2 text-generation generated_from_trainer dataset:tyzhu/lmind_hotpot_train500_eval300_v1_qa base_model:gpt2-xl license:mit model-index autotrain_compatible endpoints_compatible text-generation-inference region:us