File size: 1,448 Bytes
1a0e6e2 acea686 7af4009 62d6324 bb72387 acea686 acc998d 1a0e6e2 acea686 1a0e6e2 bb72387 1a0e6e2 bb72387 acea686 bb72387 1a0e6e2 acea686 1a0e6e2 acea686 1a0e6e2 acea686 1a0e6e2 acea686 1a0e6e2 acea686 1a0e6e2 acea686 1a0e6e2 acea686 1a0e6e2 acea686 1a0e6e2 acea686 bb72387 acea686 1a0e6e2 bb72387 1a0e6e2 acea686 1a0e6e2 acea686 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 |
---
tags:
- generated_from_trainer
base_model: austindavis/gpt2-lichess-uci-201601
model-index:
- name: gpt2-lichess-uci-2016-01_11
results: []
widget:
- text: e2e4
example_title: King's pawn
- text: d2d4
example_title: Queen's pawn
---
<!-- 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. -->
# gpt2-lichess-uci-2016-01_11
This model is a fine-tuned version of [austindavis/gpt2-lichess-uci-201601](https://huggingface.co/austindavis/gpt2-lichess-uci-201601) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0379
## 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: 0.0001715755714441261
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 1.0634 | 1.0 | 266171 | 1.0379 |
### Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1
|