Commit
•
b32aba2
1
Parent(s):
df108a3
End of training
Browse files
README.md
ADDED
|
@@ -0,0 +1,84 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
library_name: peft
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
base_model: filipealmeida/Mistral-7B-Instruct-v0.1-sharded
|
| 7 |
+
model-index:
|
| 8 |
+
- name: mistral7b-finetune-20k-withnoclass
|
| 9 |
+
results: []
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
+
|
| 15 |
+
# mistral7b-finetune-20k-withnoclass
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [filipealmeida/Mistral-7B-Instruct-v0.1-sharded](https://huggingface.co/filipealmeida/Mistral-7B-Instruct-v0.1-sharded) on the None dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 0.9941
|
| 20 |
+
|
| 21 |
+
## Model description
|
| 22 |
+
|
| 23 |
+
More information needed
|
| 24 |
+
|
| 25 |
+
## Intended uses & limitations
|
| 26 |
+
|
| 27 |
+
More information needed
|
| 28 |
+
|
| 29 |
+
## Training and evaluation data
|
| 30 |
+
|
| 31 |
+
More information needed
|
| 32 |
+
|
| 33 |
+
## Training procedure
|
| 34 |
+
|
| 35 |
+
### Training hyperparameters
|
| 36 |
+
|
| 37 |
+
The following hyperparameters were used during training:
|
| 38 |
+
- learning_rate: 0.0002
|
| 39 |
+
- train_batch_size: 8
|
| 40 |
+
- eval_batch_size: 8
|
| 41 |
+
- seed: 42
|
| 42 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 43 |
+
- lr_scheduler_type: cosine
|
| 44 |
+
- training_steps: 2500
|
| 45 |
+
- mixed_precision_training: Native AMP
|
| 46 |
+
|
| 47 |
+
### Training results
|
| 48 |
+
|
| 49 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 50 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
| 51 |
+
| 1.8094 | 0.04 | 100 | 1.4332 |
|
| 52 |
+
| 1.274 | 0.08 | 200 | 1.2291 |
|
| 53 |
+
| 1.1812 | 0.12 | 300 | 1.1865 |
|
| 54 |
+
| 1.1474 | 0.16 | 400 | 1.1542 |
|
| 55 |
+
| 1.1421 | 0.2 | 500 | 1.1370 |
|
| 56 |
+
| 1.101 | 0.24 | 600 | 1.1154 |
|
| 57 |
+
| 1.1111 | 0.29 | 700 | 1.0999 |
|
| 58 |
+
| 1.0778 | 0.33 | 800 | 1.0841 |
|
| 59 |
+
| 1.0421 | 0.37 | 900 | 1.0784 |
|
| 60 |
+
| 1.0468 | 0.41 | 1000 | 1.0644 |
|
| 61 |
+
| 1.0389 | 0.45 | 1100 | 1.0540 |
|
| 62 |
+
| 1.0023 | 0.49 | 1200 | 1.0434 |
|
| 63 |
+
| 1.0396 | 0.53 | 1300 | 1.0342 |
|
| 64 |
+
| 0.9991 | 0.57 | 1400 | 1.0260 |
|
| 65 |
+
| 1.0304 | 0.61 | 1500 | 1.0238 |
|
| 66 |
+
| 1.0033 | 0.65 | 1600 | 1.0159 |
|
| 67 |
+
| 1.0065 | 0.69 | 1700 | 1.0109 |
|
| 68 |
+
| 0.9587 | 0.73 | 1800 | 1.0072 |
|
| 69 |
+
| 0.9725 | 0.78 | 1900 | 1.0025 |
|
| 70 |
+
| 0.9738 | 0.82 | 2000 | 0.9997 |
|
| 71 |
+
| 0.9816 | 0.86 | 2100 | 0.9972 |
|
| 72 |
+
| 0.9858 | 0.9 | 2200 | 0.9956 |
|
| 73 |
+
| 0.9477 | 0.94 | 2300 | 0.9946 |
|
| 74 |
+
| 0.9834 | 0.98 | 2400 | 0.9941 |
|
| 75 |
+
| 0.943 | 1.02 | 2500 | 0.9941 |
|
| 76 |
+
|
| 77 |
+
|
| 78 |
+
### Framework versions
|
| 79 |
+
|
| 80 |
+
- PEFT 0.7.1
|
| 81 |
+
- Transformers 4.37.0.dev0
|
| 82 |
+
- Pytorch 2.0.0
|
| 83 |
+
- Datasets 2.1.0
|
| 84 |
+
- Tokenizers 0.15.0
|