llama-3.1-8b-instruct-agg-judge
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the simonycl/llama3.1-ultrafeedback-annotate-judge-5 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6258
- Rewards/chosen: -2.9200
- Rewards/rejected: -3.3645
- Rewards/accuracies: 0.6640
- Rewards/margins: 0.4445
- Logps/rejected: -610.8331
- Logps/chosen: -555.4608
- Logits/rejected: -2.5388
- Logits/chosen: -2.6870
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: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- total_eval_batch_size: 8
- 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 | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.4967 | 0.8443 | 400 | 0.6258 | -2.9200 | -3.3645 | 0.6640 | 0.4445 | -610.8331 | -555.4608 | -2.5388 | -2.6870 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for simonycl/llama-3.1-8b-instruct-ultrafeedback-agg-judge
Base model
meta-llama/Llama-3.1-8B
Finetuned
meta-llama/Llama-3.1-8B-Instruct