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fununun
mecoaoge2/fununun
fununun is a machine learning model from mecoaoge2. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jan 10, 2024
- Updated
- Jan 10, 2024
- SHA
- 5c5c6c17
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
fununun
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6908
- Rewards/chosen: 0.0015
- Rewards/rejected: -0.0032
- Rewards/accuracies: 0.7176
- Rewards/margins: 0.0047
- Logps/rejected: -197.2385
- Logps/chosen: -235.0630
- Logits/rejected: -3.0691
- Logits/chosen: -3.1037
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: 2
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- training_steps: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.693 | 0.04 | 20 | 0.6927 | 0.0001 | -0.0007 | 0.5614 | 0.0009 | -197.2139 | -235.0765 | -3.0688 | -3.1035 |
| 0.6922 | 0.07 | 40 | 0.6919 | 0.0007 | -0.0017 | 0.6440 | 0.0024 | -197.2236 | -235.0704 | -3.0690 | -3.1036 |
| 0.6913 | 0.11 | 60 | 0.6913 | 0.0011 | -0.0025 | 0.6886 | 0.0037 | -197.2319 | -235.0664 | -3.0691 | -3.1037 |
| 0.6909 | 0.15 | 80 | 0.6909 | 0.0014 | -0.0030 | 0.7098 | 0.0044 | -197.2367 | -235.0639 | -3.0691 | -3.1037 |
| 0.6906 | 0.19 | 100 | 0.6908 | 0.0015 | -0.0032 | 0.7176 | 0.0047 | -197.2385 | -235.0630 | -3.0691 | -3.1037 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Library
- peft
- License
- apache-2.0
- Created
- Jan 10, 2024
- Updated
- Jan 10, 2024