metadata
license: apache-2.0
base_model: Salesforce/codegen2-3_7B_P
tags:
- generated_from_trainer
datasets:
- andstor/methods2test_small
metrics:
- accuracy
model-index:
- name: output
results:
- task:
name: Causal Language Modeling
type: text-generation
dataset:
name: andstor/methods2test_small fm+fc+c+m+f+t+tc
type: andstor/methods2test_small
args: fm+fc+c+m+f+t+tc
metrics:
- name: Accuracy
type: accuracy
value: 0.5477830143362192
output
This model is a fine-tuned version of Salesforce/codegen2-3_7B_P on the andstor/methods2test_small fm+fc+c+m+f+t+tc dataset. It achieves the following results on the evaluation set:
- Loss: 2.9043
- Accuracy: 0.5478
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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu118
- Datasets 2.17.1
- Tokenizers 0.19.1