metadata
license: mit
base_model: microsoft/Phi-3-small-8k-instruct
tags:
- generated_from_trainer
model-index:
- name: phi3-spin-phi3-data
results: []
phi3-spin-phi3-data
This model is a fine-tuned version of microsoft/Phi-3-small-8k-instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
- Rewards/real: -20.4314
- Rewards/generated: -59.7851
- Rewards/accuracies: 1.0
- Rewards/margins: 39.3538
- Logps/generated: -1415.6521
- Logps/real: -459.2887
- Logits/generated: -inf
- Logits/real: -inf
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-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/real | Rewards/generated | Rewards/accuracies | Rewards/margins | Logps/generated | Logps/real | Logits/generated | Logits/real |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.0013 | 0.32 | 500 | 0.0028 | -15.0276 | -43.9108 | 1.0 | 28.8832 | -1256.9089 | -405.2515 | -inf | -inf |
| 0.0007 | 0.64 | 1000 | 0.0001 | -20.5002 | -56.1393 | 1.0 | 35.6391 | -1379.1938 | -459.9772 | -inf | -inf |
| 0.0081 | 0.96 | 1500 | 0.0000 | -20.4314 | -59.7851 | 1.0 | 39.3538 | -1415.6521 | -459.2887 | -inf | -inf |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2