File size: 1,433 Bytes
e3d2a4d f04af7d e3d2a4d f04af7d e3d2a4d f04af7d e3d2a4d f04af7d e3d2a4d f04af7d e3d2a4d f04af7d 934d54e e3d2a4d f04af7d e3d2a4d f04af7d e3d2a4d f04af7d e3d2a4d f04af7d e3d2a4d f04af7d e3d2a4d f04af7d e3d2a4d f04af7d e3d2a4d f04af7d e3d2a4d f04af7d 934d54e f04af7d 934d54e f04af7d e3d2a4d f04af7d e3d2a4d f04af7d 934d54e e3d2a4d f04af7d 934d54e |
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 |
---
license: other
library_name: peft
tags:
- generated_from_trainer
base_model: facebook/opt-125m
model-index:
- name: outputs
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. -->
# outputs
This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2068
## 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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 20
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7272 | 19.92 | 1240 | 2.2068 |
### Framework versions
- PEFT 0.9.1.dev0
- Transformers 4.39.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2 |