metadata
base_model: google/gemma-2-2b-it
datasets:
- GaetanMichelet/chat-60_ft_task-1
library_name: peft
license: gemma
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
model-index:
- name: Gemma-2-2B_task-1_60-samples_config-1
results: []
Gemma-2-2B_task-1_60-samples_config-1
This model is a fine-tuned version of google/gemma-2-2b-it on the GaetanMichelet/chat-60_ft_task-1 dataset. It achieves the following results on the evaluation set:
- Loss: 1.3620
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.489 | 0.8696 | 5 | 2.2686 |
| 2.1234 | 1.9130 | 11 | 1.8447 |
| 1.5886 | 2.9565 | 17 | 1.5018 |
| 1.4359 | 4.0 | 23 | 1.3991 |
| 1.1595 | 4.8696 | 28 | 1.3782 |
| 0.9043 | 5.9130 | 34 | 1.3620 |
| 0.773 | 6.9565 | 40 | 1.4541 |
| 0.4933 | 8.0 | 46 | 1.6163 |
| 0.354 | 8.8696 | 51 | 1.9201 |
| 0.1478 | 9.9130 | 57 | 2.4809 |
| 0.0676 | 10.9565 | 63 | 2.9184 |
| 0.0308 | 12.0 | 69 | 3.2972 |
| 0.0342 | 12.8696 | 74 | 3.3674 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1