File size: 2,580 Bytes
f56333f 5dce426 f56333f 5dce426 f56333f 5dce426 f56333f |
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 83 84 85 86 87 |
---
license: other
tags:
- generated_from_trainer
datasets:
- AlekseyKorshuk/dalio-book-handwritten-io-sorted-v2
metrics:
- accuracy
model-index:
- name: 6.7b-dalio-book-handwritten-io-constant-1e-6-v2
results:
- task:
name: Causal Language Modeling
type: text-generation
dataset:
name: AlekseyKorshuk/dalio-book-handwritten-io-sorted-v2
type: AlekseyKorshuk/dalio-book-handwritten-io-sorted-v2
metrics:
- name: Accuracy
type: accuracy
value: 0.27929113140380746
---
<!-- 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. -->
# 6.7b-dalio-book-handwritten-io-constant-1e-6-v2
This model is a fine-tuned version of [facebook/opt-6.7b](https://huggingface.co/facebook/opt-6.7b) on the AlekseyKorshuk/dalio-book-handwritten-io-sorted-v2 dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4238
- Accuracy: 0.2793
## 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: 1e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 8
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 1.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.5852 | 0.08 | 6 | 2.5957 | 0.2697 |
| 2.5956 | 0.16 | 12 | 2.5762 | 0.2706 |
| 2.5961 | 0.24 | 18 | 2.5547 | 0.2711 |
| 2.5731 | 0.32 | 24 | 2.5312 | 0.2722 |
| 2.5415 | 0.4 | 30 | 2.5117 | 0.2734 |
| 2.5168 | 0.48 | 36 | 2.4961 | 0.2746 |
| 2.4972 | 0.56 | 42 | 2.4824 | 0.2756 |
| 2.4354 | 0.64 | 48 | 2.4727 | 0.2761 |
| 2.4055 | 0.72 | 54 | 2.4609 | 0.2768 |
| 2.4681 | 0.8 | 60 | 2.4492 | 0.2778 |
| 2.5866 | 0.88 | 66 | 2.4355 | 0.2784 |
| 2.4221 | 0.96 | 72 | 2.4238 | 0.2793 |
### Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
|