metadata
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: eci-io/climategpt-7b
datasets:
- generator
model-index:
- name: climate-peft
results: []
climate-peft
This model is a fine-tuned version of eci-io/climategpt-7b on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.2605
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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4821 | 1.0 | 18 | 1.3099 |
| 1.2442 | 2.0 | 36 | 1.2665 |
| 1.1787 | 3.0 | 54 | 1.2603 |
| 1.1356 | 4.0 | 72 | 1.2605 |
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2