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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: output
results: []
---
<!-- 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. -->
# output
This model is a fine-tuned version of [EleutherAI/gpt-j-6B](https://huggingface.co/EleutherAI/gpt-j-6B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: nan
## 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: 0.001
- train_batch_size: 14
- eval_batch_size: 14
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 0.03 | 10 | nan |
| No log | 0.06 | 20 | nan |
| No log | 0.08 | 30 | nan |
| No log | 0.11 | 40 | nan |
| No log | 0.14 | 50 | nan |
| No log | 0.17 | 60 | nan |
| No log | 0.2 | 70 | nan |
| No log | 0.23 | 80 | nan |
| No log | 0.25 | 90 | nan |
| 0.9839 | 0.28 | 100 | nan |
| 0.9839 | 0.31 | 110 | nan |
| 0.9839 | 0.34 | 120 | nan |
| 0.9839 | 0.37 | 130 | nan |
| 0.9839 | 0.4 | 140 | nan |
| 0.9839 | 0.42 | 150 | nan |
| 0.9839 | 0.45 | 160 | nan |
| 0.9839 | 0.48 | 170 | nan |
| 0.9839 | 0.51 | 180 | nan |
| 0.9839 | 0.54 | 190 | nan |
| 0.0 | 0.56 | 200 | nan |
| 0.0 | 0.59 | 210 | nan |
| 0.0 | 0.62 | 220 | nan |
| 0.0 | 0.65 | 230 | nan |
| 0.0 | 0.68 | 240 | nan |
| 0.0 | 0.71 | 250 | nan |
| 0.0 | 0.73 | 260 | nan |
| 0.0 | 0.76 | 270 | nan |
| 0.0 | 0.79 | 280 | nan |
| 0.0 | 0.82 | 290 | nan |
| 0.0 | 0.85 | 300 | nan |
| 0.0 | 0.88 | 310 | nan |
| 0.0 | 0.9 | 320 | nan |
| 0.0 | 0.93 | 330 | nan |
| 0.0 | 0.96 | 340 | nan |
| 0.0 | 0.99 | 350 | nan |
### Framework versions
- Transformers 4.26.0
- Pytorch 1.11.0+cu113
- Datasets 2.9.0
- Tokenizers 0.13.2
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