DariaaaS/small-chunks-test-ft
Browse files- README.md +65 -0
- adapter_config.json +31 -0
- adapter_model.safetensors +3 -0
- runs/Jul06_19-56-12_gpu/events.out.tfevents.1720295777.gpu.2565187.0 +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: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
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model-index:
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- name: test_smallchunks
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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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# test_smallchunks
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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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.1981
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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: 3
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:-----:|:---------------:|
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| 2.2604 | 0.9999 | 5433 | 2.2318 |
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| 2.1955 | 1.9999 | 10867 | 2.2079 |
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| 2.1465 | 2.9996 | 16299 | 2.1981 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.40.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.4.0
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- Tokenizers 0.19.1
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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": null,
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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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"layer_replication": null,
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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": 32,
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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": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"k_proj",
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"o_proj",
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"q_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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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 sha256:86adfed6bf61cb6550a1e9e7f6c4ff77ba0d1ae1d1f04622be1254304d0a0ecc
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size 27301384
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runs/Jul06_19-56-12_gpu/events.out.tfevents.1720295777.gpu.2565187.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:201fa5532f65ae43d7155eb7d627d8fb24438fd702baa74c4acb334fbe6e0e66
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size 7124
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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:bebb440ec8c7fe3b4e860b152fe1f1c01f180ad6b210f964bd4aaae9f313571f
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size 4984
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