---
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-dsm5mistral
  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. -->

# falcon-7b-sharded-bf16-finetuned-mental-health-dsm5mistral

This model is a fine-tuned version of [ybelkada/falcon-7b-sharded-bf16](https://huggingface.co/ybelkada/falcon-7b-sharded-bf16) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7448

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 2.1353        | 0.1028 | 10   | 2.2214          |
| 2.2465        | 0.2057 | 20   | 2.1292          |
| 1.8446        | 0.3085 | 30   | 2.0584          |
| 1.9796        | 0.4113 | 40   | 1.9319          |
| 1.6682        | 0.5141 | 50   | 2.1183          |
| 1.9888        | 0.6170 | 60   | 1.8794          |
| 1.7142        | 0.7198 | 70   | 1.8562          |
| 1.8108        | 0.8226 | 80   | 1.8650          |
| 1.7122        | 0.9254 | 90   | 1.8313          |
| 1.5926        | 1.0283 | 100  | 1.8228          |
| 1.6881        | 1.1311 | 110  | 1.8095          |
| 1.4018        | 1.2339 | 120  | 1.8231          |
| 1.7688        | 1.3368 | 130  | 1.7767          |
| 1.4843        | 1.4396 | 140  | 1.7667          |
| 1.5288        | 1.5424 | 150  | 1.7607          |
| 1.5946        | 1.6452 | 160  | 1.7498          |
| 1.3308        | 1.7481 | 170  | 1.7463          |
| 1.6712        | 1.8509 | 180  | 1.7454          |
| 1.3342        | 1.9537 | 190  | 1.7449          |
| 1.5714        | 2.0566 | 200  | 1.7448          |


### Framework versions

- PEFT 0.13.1.dev0
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0