metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: AI-Sweden-Models/gpt-sw3-1.3b
model-index:
- name: gpt_icesum
results: []
gpt_icesum
This model is a fine-tuned version of AI-Sweden-Models/gpt-sw3-1.3b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7824
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9553 | 0.22 | 50 | 1.8683 |
| 1.9425 | 0.44 | 100 | 1.8240 |
| 1.8376 | 0.67 | 150 | 1.8040 |
| 2.0224 | 0.89 | 200 | 1.7953 |
| 1.8172 | 1.11 | 250 | 1.7903 |
| 1.9457 | 1.33 | 300 | 1.7875 |
| 1.8177 | 1.56 | 350 | 1.7853 |
| 1.82 | 1.78 | 400 | 1.7837 |
| 1.9207 | 2.0 | 450 | 1.7830 |
| 1.7946 | 2.22 | 500 | 1.7832 |
| 1.8675 | 2.44 | 550 | 1.7828 |
| 1.8384 | 2.67 | 600 | 1.7826 |
| 1.9814 | 2.89 | 650 | 1.7824 |
Framework versions
- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 2.2.0+cu118
- Datasets 2.17.1
- Tokenizers 0.15.2