File size: 2,530 Bytes
896d50f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 |
---
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 |