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Movie_Review_sentiment_Analysis
Junr-syl/Movie_Review_sentiment_Analysis
Movie_Review_sentiment_Analysis is a machine learning model from Junr-syl. 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 other.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated Sep 9, 2023
Repo size
135 MB
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0
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Repo makeup
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.bin33.7 MB · 100%
At a glance
- License
- other
- Access
- Public
- Created
- Sep 5, 2023
- Updated
- Sep 9, 2023
- SHA
- 744200e2
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. -->
Movie_Review_sentiment_Analysis
This model is a fine-tuned version of TheBloke/Llama-2-7b-Chat-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6025
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 130
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4987 | 0.01 | 120 | 2.6025 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- License
- other
- Created
- Sep 5, 2023
- Updated
- Sep 9, 2023