End of training
Browse files
README.md
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license: mit
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base_model: HuggingFaceH4/zephyr-7b-beta
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tags:
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- generated_from_trainer
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model-index:
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- name: results
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# results
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This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the None dataset.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.
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- train_batch_size: 4
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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: constant
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs:
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### Training results
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+
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- Datasets 2.
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- Tokenizers 0.15.0
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license: mit
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base_model: HuggingFaceH4/zephyr-7b-beta
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tags:
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: results
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# results
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This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4427
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.00025
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- train_batch_size: 4
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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: constant
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.6943 | 0.5 | 50 | 0.6478 |
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| 0.5485 | 1.0 | 100 | 0.5314 |
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| 0.4163 | 1.5 | 150 | 0.5019 |
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| 0.3924 | 2.0 | 200 | 0.4376 |
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| 0.3311 | 2.5 | 250 | 0.4994 |
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| 0.3167 | 3.0 | 300 | 0.4327 |
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| 0.2694 | 3.5 | 350 | 0.4408 |
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| 0.2475 | 4.0 | 400 | 0.4265 |
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| 0.2271 | 4.5 | 450 | 0.4136 |
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| 0.2442 | 5.0 | 500 | 0.4427 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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adapter_config.json
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"init_lora_weights": true,
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"layers_pattern": null,
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"lora_alpha": 16,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r":
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"
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"gate_proj",
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"
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"o_proj",
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"up_proj",
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"v_proj",
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"q_proj",
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"
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],
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"task_type": "CAUSAL_LM"
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}
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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": 16,
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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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"k_proj",
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"gate_proj",
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"down_proj",
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"v_proj",
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"lm_head",
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"q_proj",
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"up_proj",
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"o_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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runs/Jan11_12-37-09_5d222086593d/events.out.tfevents.1704976633.5d222086593d.1277.0
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training_args.bin
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