metadata
base_model: ybelkada/falcon-7b-sharded-bf16
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: falcon-7b-sharded-bf16-finetuned-mental-health-hf-plus-dsm5mistral
results: []
falcon-7b-sharded-bf16-finetuned-mental-health-hf-plus-dsm5mistral
This model is a fine-tuned version of ybelkada/falcon-7b-sharded-bf16 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6730
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6574 | 0.1003 | 10 | 1.7478 |
| 1.4519 | 0.2005 | 20 | 1.7755 |
| 1.5823 | 0.3008 | 30 | 1.7614 |
| 1.5633 | 0.4010 | 40 | 1.7620 |
| 1.3816 | 0.5013 | 50 | 2.0733 |
| 1.75 | 0.6015 | 60 | 1.7332 |
| 1.3408 | 0.7018 | 70 | 1.7491 |
| 1.6436 | 0.8020 | 80 | 1.7197 |
| 1.439 | 0.9023 | 90 | 1.7320 |
| 1.3755 | 1.0025 | 100 | 1.7057 |
| 1.5751 | 1.1028 | 110 | 1.7190 |
| 1.1649 | 1.2030 | 120 | 1.7603 |
| 1.481 | 1.3033 | 130 | 1.6892 |
| 1.2769 | 1.4035 | 140 | 1.6977 |
| 1.2564 | 1.5038 | 150 | 1.7133 |
| 1.4486 | 1.6040 | 160 | 1.6711 |
| 1.0868 | 1.7043 | 170 | 1.6710 |
| 1.4892 | 1.8045 | 180 | 1.6721 |
| 1.1903 | 1.9048 | 190 | 1.6727 |
| 1.1577 | 2.0050 | 200 | 1.6730 |
Framework versions
- PEFT 0.13.1.dev0
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0