metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: M_gpt_v1.5
results: []
M_gpt_v1.5
This model is a fine-tuned version of ai-forever/mGPT on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5589
- Precision: 0.4836
- Recall: 0.2252
- F1: 0.3073
- Accuracy: 0.8959
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- 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
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.643 | 1.0 | 1532 | 0.4457 | 0.4 | 0.1450 | 0.2129 | 0.8911 |
| 0.4563 | 2.0 | 3065 | 0.5391 | 0.4667 | 0.1870 | 0.2670 | 0.8963 |
| 0.3724 | 3.0 | 4596 | 0.5589 | 0.4836 | 0.2252 | 0.3073 | 0.8959 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3