opt_1_flan_gsm8k / README.md
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---
tags:
- generated_from_trainer
datasets:
- gsm8k
metrics:
- accuracy
model-index:
- name: opt_1_flan_gsm8k
results:
- task:
name: Causal Language Modeling
type: text-generation
dataset:
name: gsm8k main
type: gsm8k
args: main
metrics:
- name: Accuracy
type: accuracy
value: 0.19469348746188503
---
<!-- 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. -->
# opt_1_flan_gsm8k
This model is a fine-tuned version of [](https://huggingface.co/) on the gsm8k main dataset.
It achieves the following results on the evaluation set:
- Loss: 5.2508
- Accuracy: 0.1947
## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
### Training results
### Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0