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mistral-7b-expo-7b-L2EXPO-25-3
hZzy/mistral-7b-expo-7b-L2EXPO-25-3
mistral-7b-expo-7b-L2EXPO-25-3 is a machine learning model from hZzy. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- mistral
- Access
- Public
- Created
- Apr 12, 2025
- Updated
- Apr 13, 2025
- SHA
- d6266af2
Base models
Datasets
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. -->
mistral-7b-expo-7b-L2EXPO-25-3
This model is a fine-tuned version of hZzy/mistral-7b-sft-25-1 on the hZzy/direction_right2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4241
- Objective: 0.4184
- Reward Accuracy: 0.6924
- Logp Accuracy: 0.6784
- Log Diff Policy: 19.6421
- Chosen Logps: -184.7314
- Rejected Logps: -204.3735
- Chosen Rewards: -0.9006
- Rejected Rewards: -1.0934
- Logits: -2.4579
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: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- gradient_accumulation_steps: 12
- total_train_batch_size: 144
- total_eval_batch_size: 12
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Objective | Reward Accuracy | Logp Accuracy | Log Diff Policy | Chosen Logps | Rejected Logps | Chosen Rewards | Rejected Rewards | Logits |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.5314 | 0.1011 | 50 | 0.4821 | 0.4763 | 0.6228 | 0.6093 | 10.3431 | -109.8486 | -120.1917 | -0.1518 | -0.2516 | -1.9219 |
| 0.4837 | 0.2022 | 100 | 0.4592 | 0.4504 | 0.6767 | 0.6675 | 19.7753 | -191.6833 | -211.4587 | -0.9701 | -1.1643 | -2.0366 |
| 0.439 | 0.3033 | 150 | 0.4358 | 0.4278 | 0.6860 | 0.6625 | 15.8163 | -178.8420 | -194.6583 | -0.8417 | -0.9963 | -2.4778 |
| 0.4082 | 0.4044 | 200 | 0.4291 | 0.4206 | 0.6969 | 0.6809 | 18.5694 | -196.0356 | -214.6050 | -1.0136 | -1.1957 | -2.4561 |
| 0.3852 | 0.5056 | 250 | 0.4314 | 0.4233 | 0.6874 | 0.6697 | 19.4767 | -198.4446 | -217.9214 | -1.0377 | -1.2289 | -2.3852 |
| 0.3499 | 0.6067 | 300 | 0.4265 | 0.4197 | 0.6879 | 0.6706 | 19.3593 | -169.0813 | -188.4406 | -0.7441 | -0.9341 | -2.4955 |
| 0.3632 | 0.7078 | 350 | 0.4240 | 0.4172 | 0.6902 | 0.6734 | 19.4575 | -185.9196 | -205.3771 | -0.9125 | -1.1034 | -2.6119 |
| 0.3285 | 0.8089 | 400 | 0.4251 | 0.4171 | 0.6876 | 0.6555 | 15.3121 | -220.3820 | -235.6940 | -1.2571 | -1.4066 | -2.5469 |
| 0.3226 | 0.9100 | 450 | 0.4211 | 0.4121 | 0.6952 | 0.6739 | 18.1247 | -182.7602 | -200.8849 | -0.8809 | -1.0585 | -2.6342 |
Framework versions
- Transformers 4.42.0
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.19.1
- Type
- mistral
- License
- apache-2.0
- Created
- Apr 12, 2025
- Updated
- Apr 13, 2025