metadata
license: apache-2.0
base_model: AmberYifan/mistral-safe-sft-full
tags:
- generated_from_trainer
model-index:
- name: mistral-sft-kcenter-5k
results: []
mistral-sft-kcenter-5k
This model is a fine-tuned version of AmberYifan/mistral-safe-sft-full on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1925
- Rewards/real: 5.5330
- Rewards/generated: -4.6681
- Rewards/accuracies: 0.9922
- Rewards/margins: 10.2011
- Logps/generated: -304.9019
- Logps/real: -157.3288
- Logits/generated: -2.8831
- Logits/real: -2.8163
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.1804 | 0.6369 | 100 | 0.1925 | 5.5330 | -4.6681 | 0.9922 | 10.2011 | -304.9019 | -157.3288 | -2.8831 | -2.8163 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.2.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1