OPO Mistral-7B
Collection
8 items • Updated
mistral-7b-base-neural_ndcg-listsize_8-tau_1.0-beta_0.05-batchsize_128
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the yangzhao02/ListUltraFeedback dataset. It achieves the following results on the evaluation set:
- Loss: -0.9924
- Logps: -390.4838
- Logits: -0.7300
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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 16
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 16
- 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Logps | Logits |
|---|---|---|---|---|---|
| -0.9908 | 0.4275 | 200 | -0.9910 | -365.4714 | -0.6106 |
| -0.9924 | 0.8549 | 400 | -0.9923 | -393.3539 | -0.6678 |
Framework versions
- Transformers 4.42.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for yangzhao02/mistral-7b-opo
Base model
mistralai/Mistral-7B-v0.1 Finetuned
alignment-handbook/zephyr-7b-sft-full