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Mistral_Sentiment_Classification_2024-08-19
Ai-Marshal/Mistral_Sentiment_Classification_2024-08-19
Mistral_Sentiment_Classification_2024-08-19 is a machine learning model from Ai-Marshal. 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
- Aug 20, 2024
- Updated
- Aug 20, 2024
- SHA
- 30d51e73
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_Sentiment_Classification_2024-08-19
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.1144
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: 2.5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1264 | 0.2048 | 500 | 0.1188 |
| 0.1096 | 0.4097 | 1000 | 0.1146 |
| 0.1289 | 0.6145 | 1500 | 0.1123 |
| 0.1089 | 0.8193 | 2000 | 0.1106 |
| 0.1218 | 1.0242 | 2500 | 0.1083 |
| 0.0987 | 1.2290 | 3000 | 0.1079 |
| 0.1074 | 1.4338 | 3500 | 0.1069 |
| 0.0906 | 1.6387 | 4000 | 0.1062 |
| 0.1094 | 1.8435 | 4500 | 0.1053 |
| 0.0951 | 2.0483 | 5000 | 0.1068 |
| 0.1 | 2.2532 | 5500 | 0.1068 |
| 0.0799 | 2.4580 | 6000 | 0.1062 |
| 0.0767 | 2.6628 | 6500 | 0.1058 |
| 0.1046 | 2.8677 | 7000 | 0.1054 |
| 0.0727 | 3.0725 | 7500 | 0.1091 |
| 0.0737 | 3.2773 | 8000 | 0.1092 |
| 0.0967 | 3.4822 | 8500 | 0.1092 |
| 0.0726 | 3.6870 | 9000 | 0.1091 |
| 0.0909 | 3.8918 | 9500 | 0.1085 |
| 0.074 | 4.0967 | 10000 | 0.1141 |
| 0.0777 | 4.3015 | 10500 | 0.1143 |
| 0.0695 | 4.5063 | 11000 | 0.1145 |
| 0.0604 | 4.7112 | 11500 | 0.1142 |
| 0.0612 | 4.9160 | 12000 | 0.1144 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- Aug 20, 2024
- Updated
- Aug 20, 2024