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---
license: other
tags:
- generated_from_trainer
datasets:
- AlekseyKorshuk/dalio-book-handwritten-io-sorted
metrics:
- accuracy
model-index:
- name: 6.7b-dalio-book-handwritten-io-constant-1e-6
results:
- task:
name: Causal Language Modeling
type: text-generation
dataset:
name: AlekseyKorshuk/dalio-book-handwritten-io-sorted
type: AlekseyKorshuk/dalio-book-handwritten-io-sorted
metrics:
- name: Accuracy
type: accuracy
value: 0.3103083378945448
---
<!-- 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
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 dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3633
- Accuracy: 0.3103
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.6396 | 0.11 | 6 | 2.5039 | 0.2989 |
| 2.5754 | 0.21 | 12 | 2.4902 | 0.2999 |
| 2.5859 | 0.32 | 18 | 2.4648 | 0.3018 |
| 2.5432 | 0.43 | 24 | 2.4434 | 0.3035 |
| 2.472 | 0.54 | 30 | 2.4238 | 0.3053 |
| 2.5184 | 0.64 | 36 | 2.4082 | 0.3064 |
| 2.4524 | 0.75 | 42 | 2.3926 | 0.3078 |
| 2.3876 | 0.86 | 48 | 2.3789 | 0.3092 |
| 2.4456 | 0.96 | 54 | 2.3633 | 0.3103 |
### Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
|