4d0ad11821
Model: mncai/Mistral-7B-LaAdMoAl-Marcoroni-merged-Qn-100-ep4-lr5 Source: Original Platform
55 lines
1.3 KiB
Markdown
55 lines
1.3 KiB
Markdown
---
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base_model: MNC-LLM/Mistral-7B-NWS-u2k-eng-cot-ep4-lr1e-05
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tags:
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- generated_from_trainer
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model-index:
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- name: batch1_epochs4_lr1e-05_paged_adamw_32bit_cosine_length2048_warmup_0.05_max_grad1.0_grad_accu16
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results: []
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---
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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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# batch1_epochs4_lr1e-05_paged_adamw_32bit_cosine_length2048_warmup_0.05_max_grad1.0_grad_accu16
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This model is a fine-tuned version of [MNC-LLM/Mistral-7B-NWS-u2k-eng-cot-ep4-lr1e-05](https://huggingface.co/MNC-LLM/Mistral-7B-NWS-u2k-eng-cot-ep4-lr1e-05) on the None dataset.
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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: 1e-05
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- train_batch_size: 1
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 16
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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: cosine
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- lr_scheduler_warmup_ratio: 0.05
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- num_epochs: 4
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### Training results
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.1.1+cu121
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- Datasets 2.16.0
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- Tokenizers 0.15.0
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