anaselgourch
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anaselgourch/AnaSight
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README.md
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license: apache-2.0
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---
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license: apache-2.0
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
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model-index:
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- name: AnaSight
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results: []
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# AnaSight
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This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6849
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 2
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 3.6807 | 0.84 | 4 | 2.8842 |
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| 2.3898 | 1.89 | 9 | 2.3594 |
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| 2.025 | 2.95 | 14 | 2.0735 |
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| 1.8054 | 4.0 | 19 | 1.9137 |
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| 2.0621 | 4.84 | 23 | 1.8379 |
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| 1.5615 | 5.89 | 28 | 1.7658 |
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| 1.4873 | 6.95 | 33 | 1.7154 |
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| 1.4352 | 8.0 | 38 | 1.6883 |
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| 1.5129 | 8.42 | 40 | 1.6849 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.38.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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runs/Mar29_23-33-51_6bede220a57c/events.out.tfevents.1711755237.6bede220a57c.2097.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:f0181945df94f85fb52cb11faac0d587b3ffd318ad6e773c5c225a51ca7d459a
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size 9808
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:3a6b53c4cb40755823c27f5da1d53ee8f7a001888cc5311e0a8f25b58b2bf7dd
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size 4856
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