File size: 2,049 Bytes
8cadd9d |
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 |
---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: SChem5Labels-mistralai-Mistral-7B-v0.1-intra-frequency-model-pairwise-mse-cycle1
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. -->
# SChem5Labels-mistralai-Mistral-7B-v0.1-intra-frequency-model-pairwise-mse-cycle1
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4592
## 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 200
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0658 | 0.02 | 69 | 1.0451 |
| 0.8013 | 1.02 | 138 | 0.7708 |
| 0.5397 | 2.02 | 207 | 0.5880 |
| 0.4436 | 3.02 | 276 | 0.4895 |
| 0.3979 | 4.02 | 345 | 0.4425 |
| 0.3844 | 5.02 | 414 | 0.4116 |
| 0.3485 | 6.02 | 483 | 0.4046 |
| 0.3338 | 7.02 | 552 | 0.3989 |
| 0.3093 | 8.02 | 621 | 0.3904 |
| 0.3005 | 9.02 | 690 | 0.4010 |
| 0.271 | 10.02 | 759 | 0.3991 |
| 0.2627 | 11.02 | 828 | 0.4491 |
| 0.2217 | 12.02 | 897 | 0.4592 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
|