simonycl / llama-3.1-8b-instruct-armorm

huggingface.co
Total runs: 19
24-hour runs: -1
7-day runs: -1
30-day runs: 6
Model's Last Updated: August 30 2024
text-generation

Introduction of llama-3.1-8b-instruct-armorm

Model Details of llama-3.1-8b-instruct-armorm

llama-3.1-8b-instruct-armorm

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the simonycl/llama3.1-ultrafeedback-annotate-armorm dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5123
  • Rewards/chosen: -2.5095
  • Rewards/rejected: -3.2703
  • Rewards/accuracies: 0.7782
  • Rewards/margins: 0.7608
  • Logps/rejected: -600.9280
  • Logps/chosen: -513.8394
  • Logits/rejected: -2.6733
  • Logits/chosen: -2.7845
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: 2
  • eval_batch_size: 4
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • gradient_accumulation_steps: 16
  • 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
Training results
Training Loss Epoch Step Validation Loss Rewards/chosen Rewards/rejected Rewards/accuracies Rewards/margins Logps/rejected Logps/chosen Logits/rejected Logits/chosen
0.2606 0.7886 400 0.5123 -2.5095 -3.2703 0.7782 0.7608 -600.9280 -513.8394 -2.6733 -2.7845
Framework versions
  • Transformers 4.44.2
  • Pytorch 2.4.0+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1

Runs of simonycl llama-3.1-8b-instruct-armorm on huggingface.co

19
Total runs
-1
24-hour runs
-2
3-day runs
-1
7-day runs
6
30-day runs

More Information About llama-3.1-8b-instruct-armorm huggingface.co Model

More llama-3.1-8b-instruct-armorm license Visit here:

https://choosealicense.com/licenses/llama3.1

llama-3.1-8b-instruct-armorm huggingface.co

llama-3.1-8b-instruct-armorm huggingface.co is an AI model on huggingface.co that provides llama-3.1-8b-instruct-armorm's model effect (), which can be used instantly with this simonycl llama-3.1-8b-instruct-armorm model. huggingface.co supports a free trial of the llama-3.1-8b-instruct-armorm model, and also provides paid use of the llama-3.1-8b-instruct-armorm. Support call llama-3.1-8b-instruct-armorm model through api, including Node.js, Python, http.

llama-3.1-8b-instruct-armorm huggingface.co Url

https://huggingface.co/simonycl/llama-3.1-8b-instruct-armorm

simonycl llama-3.1-8b-instruct-armorm online free

llama-3.1-8b-instruct-armorm huggingface.co is an online trial and call api platform, which integrates llama-3.1-8b-instruct-armorm's modeling effects, including api services, and provides a free online trial of llama-3.1-8b-instruct-armorm, you can try llama-3.1-8b-instruct-armorm online for free by clicking the link below.

simonycl llama-3.1-8b-instruct-armorm online free url in huggingface.co:

https://huggingface.co/simonycl/llama-3.1-8b-instruct-armorm

llama-3.1-8b-instruct-armorm install

llama-3.1-8b-instruct-armorm is an open source model from GitHub that offers a free installation service, and any user can find llama-3.1-8b-instruct-armorm on GitHub to install. At the same time, huggingface.co provides the effect of llama-3.1-8b-instruct-armorm install, users can directly use llama-3.1-8b-instruct-armorm installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

llama-3.1-8b-instruct-armorm install url in huggingface.co:

https://huggingface.co/simonycl/llama-3.1-8b-instruct-armorm

Url of llama-3.1-8b-instruct-armorm

llama-3.1-8b-instruct-armorm huggingface.co Url

Provider of llama-3.1-8b-instruct-armorm huggingface.co

simonycl
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Total runs: 10
Run Growth: 4
Growth Rate: 40.00%
Updated:January 14 2025