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Breyten/mistral-instruct-dutch-syntax

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README.md ADDED
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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: mistralai/Mistral-7B-Instruct-v0.1
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+ model-index:
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+ - name: Mistral-7B-Instruct-v0.1-syntax2023-12-16-20-32
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+ results: []
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+ ---
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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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+
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+ # Mistral-7B-Instruct-v0.1-syntax2023-12-16-20-32
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+
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+ This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6808
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2.5e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 8
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+ - seed: 42
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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: 0.03
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+ - training_steps: 950
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.1019 | 0.11 | 100 | 1.0701 |
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+ | 0.9093 | 0.21 | 200 | 0.9592 |
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+ | 0.8341 | 0.32 | 300 | 0.8800 |
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+ | 0.7975 | 0.42 | 400 | 0.8150 |
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+ | 0.7859 | 0.53 | 500 | 0.7638 |
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+ | 0.7069 | 0.63 | 600 | 0.7254 |
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+ | 0.6007 | 0.74 | 700 | 0.6974 |
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+ | 0.6971 | 0.84 | 800 | 0.6832 |
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+ | 0.6331 | 0.95 | 900 | 0.6808 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.7.1
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+ - Transformers 4.36.1
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
adapter_config.json ADDED
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+ {
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+ "alpha_pattern": {},
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.1",
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+ "bias": "none",
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "layers_pattern": null,
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+ "loftq_config": {},
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+ "lora_alpha": 64,
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+ "lora_dropout": 0.05,
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+ "megatron_config": null,
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+ "megatron_core": "megatron.core",
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+ "peft_type": "LORA",
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+ "r": 32,
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+ "rank_pattern": {},
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+ "revision": null,
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+ "target_modules": [
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+ "gate_proj",
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+ "lm_head",
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+ "o_proj",
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+ "down_proj"
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+ ],
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+ "task_type": "CAUSAL_LM"
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+ }
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