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Model: HuggingFaceH4/mistral-7b-grok Source: Original Platform
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README.md
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README.md
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---
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license: apache-2.0
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base_model: mistralai/Mistral-7B-v0.1
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tags:
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- alignment-handbook
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- generated_from_trainer
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datasets:
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- HuggingFaceH4/grok-conversation-harmless
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- HuggingFaceH4/ultrachat_200k
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model-index:
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- name: mistral-7b-grok
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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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# Mistral 7B Grok
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) that has been aligned via Constitutional AI to mimic the style of [xAI's Grok assistant](https://grok.x.ai/).
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It achieves the following results on the evaluation set:
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- Loss: 0.9348
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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: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 256
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- total_eval_batch_size: 64
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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: 0.1
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.9326 | 1.0 | 545 | 0.9348 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.1.2+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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all_results.json
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{
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"epoch": 1.0,
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"eval_loss": 0.934799313545227,
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"eval_runtime": 142.2532,
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"eval_samples": 24266,
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"eval_samples_per_second": 109.024,
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"eval_steps_per_second": 1.708,
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"perplexity": 2.5467023177917714,
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"train_loss": 0.9725383741046311,
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"train_runtime": 5277.8235,
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"train_steps_per_second": 0.103
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}
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config.json
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{
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"_name_or_path": "mistralai/Mistral-7B-v0.1",
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"architectures": [
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"MistralForCausalLM"
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"attention_dropout": 0.0,
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"model_type": "mistral",
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"rms_norm_eps": 1e-05,
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24
special_tokens_map.json
Normal file
24
special_tokens_map.json
Normal file
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91122
tokenizer.json
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91122
tokenizer.json
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File diff suppressed because it is too large
Load Diff
BIN
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(Stored with Git LFS)
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BIN
tokenizer.model
(Stored with Git LFS)
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43
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3
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3
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Reference in New Issue
Block a user