d2a21a7d-9af7-48da-b2c8-47da10abd770
This model is a fine-tuned version of EleutherAI/gpt-neo-125m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.6581
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: 2
- eval_batch_size: 2
- seed: 80
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 0.0000 | 1 | 3.1069 |
12.4427 | 0.0014 | 50 | 2.9512 |
11.3815 | 0.0027 | 100 | 2.7796 |
10.8345 | 0.0041 | 150 | 2.7294 |
10.5576 | 0.0054 | 200 | 2.6998 |
10.6862 | 0.0068 | 250 | 2.6820 |
11.1711 | 0.0081 | 300 | 2.6700 |
10.8965 | 0.0095 | 350 | 2.6634 |
10.6425 | 0.0108 | 400 | 2.6595 |
10.8171 | 0.0122 | 450 | 2.6582 |
10.5469 | 0.0135 | 500 | 2.6581 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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Model tree for lesso08/d2a21a7d-9af7-48da-b2c8-47da10abd770
Base model
EleutherAI/gpt-neo-125m