---
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: []
---

<!-- 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-hf-plus-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: 1.6730

## 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