phi3mini_4k_i_RE_QA_alpha16_r_16
This model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4520
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.8239 | 0.1187 | 100 | 0.5562 |
0.5517 | 0.2374 | 200 | 0.4838 |
0.522 | 0.3561 | 300 | 0.4682 |
0.5106 | 0.4748 | 400 | 0.4602 |
0.5055 | 0.5935 | 500 | 0.4563 |
0.4995 | 0.7122 | 600 | 0.4534 |
0.4966 | 0.8309 | 700 | 0.4525 |
0.4977 | 0.9496 | 800 | 0.4520 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.2.1
- Datasets 2.19.2
- Tokenizers 0.19.1
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