Breyten/mistral-instruct-dutch-syntax
Browse files- README.md +68 -0
- adapter_config.json +32 -0
- adapter_model.safetensors +3 -0
- training_args.bin +3 -0
README.md
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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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<!-- 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-Instruct-v0.1-syntax2023-12-16-20-32
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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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## 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: 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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### Training results
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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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### Framework versions
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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
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adapter_config.json
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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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"fan_in_fan_out": false,
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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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"layers_to_transform": 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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"modules_to_save": null,
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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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"q_proj",
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"v_proj",
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"k_proj",
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"lm_head",
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"o_proj",
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"up_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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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ca514d27e793d0e4b375b317df945dd72ff64ed689d9e01dfd280f2dd7d0e2f5
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size 600059184
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:563f4455f21ccd8d039d3ce24eb6d671ae2dff6f7addd0c88884f072c0a03ae0
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size 4792
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