End of training
Browse files
README.md
ADDED
|
@@ -0,0 +1,82 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: ybelkada/falcon-7b-sharded-bf16
|
| 3 |
+
library_name: peft
|
| 4 |
+
tags:
|
| 5 |
+
- trl
|
| 6 |
+
- sft
|
| 7 |
+
- generated_from_trainer
|
| 8 |
+
model-index:
|
| 9 |
+
- name: falcon-7b-sharded-bf16-finetuned-mental-health-hf-plus-dsm5mistral
|
| 10 |
+
results: []
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 15 |
+
|
| 16 |
+
# falcon-7b-sharded-bf16-finetuned-mental-health-hf-plus-dsm5mistral
|
| 17 |
+
|
| 18 |
+
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.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 1.6730
|
| 21 |
+
|
| 22 |
+
## Model description
|
| 23 |
+
|
| 24 |
+
More information needed
|
| 25 |
+
|
| 26 |
+
## Intended uses & limitations
|
| 27 |
+
|
| 28 |
+
More information needed
|
| 29 |
+
|
| 30 |
+
## Training and evaluation data
|
| 31 |
+
|
| 32 |
+
More information needed
|
| 33 |
+
|
| 34 |
+
## Training procedure
|
| 35 |
+
|
| 36 |
+
### Training hyperparameters
|
| 37 |
+
|
| 38 |
+
The following hyperparameters were used during training:
|
| 39 |
+
- learning_rate: 0.0002
|
| 40 |
+
- train_batch_size: 16
|
| 41 |
+
- eval_batch_size: 16
|
| 42 |
+
- seed: 42
|
| 43 |
+
- gradient_accumulation_steps: 4
|
| 44 |
+
- total_train_batch_size: 64
|
| 45 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 46 |
+
- lr_scheduler_type: cosine
|
| 47 |
+
- lr_scheduler_warmup_ratio: 0.03
|
| 48 |
+
- training_steps: 200
|
| 49 |
+
|
| 50 |
+
### Training results
|
| 51 |
+
|
| 52 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 53 |
+
|:-------------:|:------:|:----:|:---------------:|
|
| 54 |
+
| 1.6574 | 0.1003 | 10 | 1.7478 |
|
| 55 |
+
| 1.4519 | 0.2005 | 20 | 1.7755 |
|
| 56 |
+
| 1.5823 | 0.3008 | 30 | 1.7614 |
|
| 57 |
+
| 1.5633 | 0.4010 | 40 | 1.7620 |
|
| 58 |
+
| 1.3816 | 0.5013 | 50 | 2.0733 |
|
| 59 |
+
| 1.75 | 0.6015 | 60 | 1.7332 |
|
| 60 |
+
| 1.3408 | 0.7018 | 70 | 1.7491 |
|
| 61 |
+
| 1.6436 | 0.8020 | 80 | 1.7197 |
|
| 62 |
+
| 1.439 | 0.9023 | 90 | 1.7320 |
|
| 63 |
+
| 1.3755 | 1.0025 | 100 | 1.7057 |
|
| 64 |
+
| 1.5751 | 1.1028 | 110 | 1.7190 |
|
| 65 |
+
| 1.1649 | 1.2030 | 120 | 1.7603 |
|
| 66 |
+
| 1.481 | 1.3033 | 130 | 1.6892 |
|
| 67 |
+
| 1.2769 | 1.4035 | 140 | 1.6977 |
|
| 68 |
+
| 1.2564 | 1.5038 | 150 | 1.7133 |
|
| 69 |
+
| 1.4486 | 1.6040 | 160 | 1.6711 |
|
| 70 |
+
| 1.0868 | 1.7043 | 170 | 1.6710 |
|
| 71 |
+
| 1.4892 | 1.8045 | 180 | 1.6721 |
|
| 72 |
+
| 1.1903 | 1.9048 | 190 | 1.6727 |
|
| 73 |
+
| 1.1577 | 2.0050 | 200 | 1.6730 |
|
| 74 |
+
|
| 75 |
+
|
| 76 |
+
### Framework versions
|
| 77 |
+
|
| 78 |
+
- PEFT 0.13.1.dev0
|
| 79 |
+
- Transformers 4.45.1
|
| 80 |
+
- Pytorch 2.4.1+cu121
|
| 81 |
+
- Datasets 3.0.1
|
| 82 |
+
- Tokenizers 0.20.0
|