File size: 2,037 Bytes
c290bc0 |
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 63 64 65 66 67 68 69 70 71 72 73 74 |
---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- anli
model-index:
- name: sft-trl-no-claim
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. -->
# sft-trl-no-claim
This model is a fine-tuned version of [EleutherAI/gpt-j-6b](https://huggingface.co/EleutherAI/gpt-j-6b) on the anli dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6203
## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 3.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.1604 | 0.2 | 1000 | 1.8712 |
| 1.0077 | 0.4 | 2000 | 1.4700 |
| 0.8175 | 0.6 | 3000 | 1.0772 |
| 0.7621 | 0.8 | 4000 | 0.7959 |
| 0.3346 | 1.0 | 5000 | 0.7570 |
| 0.2903 | 1.2 | 6000 | 0.6882 |
| 0.2313 | 1.4 | 7000 | 0.6471 |
| 0.3038 | 1.6 | 8000 | 0.6203 |
| 0.2292 | 1.8 | 9000 | 0.6203 |
| 0.193 | 2.0 | 10000 | 0.6203 |
| 0.1198 | 2.2 | 11000 | 0.6203 |
| 0.2185 | 2.4 | 12000 | 0.6203 |
| 0.1038 | 2.6 | 13000 | 0.6203 |
| 0.1469 | 2.8 | 14000 | 0.6203 |
| 0.1857 | 3.0 | 15000 | 0.6203 |
### Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
|