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---
license: mit
base_model: gpt2-xl
tags:
- generated_from_trainer
datasets:
- tyzhu/lmind_hotpot_train5000_eval5000_v1_recite_qa
metrics:
- accuracy
model-index:
- name: lmind_hotpot_train5000_eval5000_v1_recite_qa_gpt2-xl
results:
- task:
name: Causal Language Modeling
type: text-generation
dataset:
name: tyzhu/lmind_hotpot_train5000_eval5000_v1_recite_qa
type: tyzhu/lmind_hotpot_train5000_eval5000_v1_recite_qa
metrics:
- name: Accuracy
type: accuracy
value: 0.7660672947510094
---
<!-- 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_train5000_eval5000_v1_recite_qa_gpt2-xl
This model is a fine-tuned version of [gpt2-xl](https://huggingface.co/gpt2-xl) on the tyzhu/lmind_hotpot_train5000_eval5000_v1_recite_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4522
- Accuracy: 0.7661
## 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: 20.0
### Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|:-------------:|:-----:|:-----:|:--------:|:---------------:|
| 1.9686 | 1.0 | 1452 | 0.6681 | 1.5662 |
| 1.4604 | 2.0 | 2904 | 0.6915 | 1.2069 |
| 1.0522 | 3.0 | 4356 | 0.7149 | 0.9046 |
| 0.7455 | 4.0 | 5808 | 0.7341 | 0.6844 |
| 0.5307 | 5.0 | 7260 | 0.7475 | 0.5420 |
| 0.3796 | 6.0 | 8712 | 0.7560 | 0.4609 |
| 0.2912 | 7.0 | 10164 | 0.7604 | 0.4311 |
| 0.2282 | 8.0 | 11616 | 0.7627 | 0.4184 |
| 0.1905 | 9.0 | 13068 | 0.7640 | 0.4136 |
| 0.1687 | 10.0 | 14520 | 0.7648 | 0.4175 |
| 0.1553 | 11.0 | 15972 | 0.7651 | 0.4212 |
| 0.1447 | 12.0 | 17424 | 0.7653 | 0.4283 |
| 0.1388 | 13.0 | 18876 | 0.7656 | 0.4287 |
| 0.1329 | 14.0 | 20328 | 0.7657 | 0.4349 |
| 0.1292 | 15.0 | 21780 | 0.7657 | 0.4353 |
| 0.1267 | 16.0 | 23232 | 0.7659 | 0.4383 |
| 0.1251 | 17.0 | 24684 | 0.4416 | 0.7661 |
| 0.1201 | 18.0 | 26136 | 0.4467 | 0.7659 |
| 0.1186 | 19.0 | 27588 | 0.4508 | 0.7660 |
| 0.1176 | 20.0 | 29040 | 0.4522 | 0.7661 |
### Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1
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