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Parent(s):
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fionazhang/mistral-experiment-6
Browse files- README.md +56 -0
- adapter_config.json +29 -0
- adapter_model.safetensors +3 -0
- learning_curve.png +0 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer_config.json +42 -0
- training_args.bin +3 -0
- training_logs.json +1 -0
README.md
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---
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license: apache-2.0
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---
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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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- trl
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- sft
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- generated_from_trainer
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base_model: mistralai/Mistral-7B-v0.1
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model-index:
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- name: mistral-experiment-6
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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-experiment-6
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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) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0203
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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: 3
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- eval_batch_size: 3
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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: 1
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### Training results
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### Framework versions
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- PEFT 0.7.1
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- Transformers 4.36.2
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- Pytorch 2.1.0a0+git7bcf7da
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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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{
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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-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": 16,
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"lora_dropout": 0.1,
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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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"o_proj",
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"k_proj",
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"gate_proj",
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"v_proj",
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"q_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 sha256:8a35597ba87f48f26d72744e18209d52551a85b7132f4df95dabe30094e461c4
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size 23111352
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learning_curve.png
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "</s>",
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": true,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"additional_special_tokens": [],
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": true,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "</s>",
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:277e5baab97c340ab6fd277f05670c021e8a94d43fa7c5ea8c2537114bc3eaa3
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size 4664
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training_logs.json
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[{"loss": 1.9488, "learning_rate": 0.0002, "epoch": 0.13, "step": 20}, {"loss": 2.3923, "learning_rate": 0.0002, "epoch": 0.26, "step": 40}, {"loss": 1.8454, "learning_rate": 0.0002, "epoch": 0.39, "step": 60}, {"loss": 2.2645, "learning_rate": 0.0002, "epoch": 0.52, "step": 80}, {"loss": 1.8485, "learning_rate": 0.0002, "epoch": 0.65, "step": 100}, {"loss": 2.1069, "learning_rate": 0.0002, "epoch": 0.78, "step": 120}, {"loss": 1.9237, "learning_rate": 0.0002, "epoch": 0.91, "step": 140}, {"train_runtime": 50.2668, "train_samples_per_second": 9.171, "train_steps_per_second": 3.064, "total_flos": 2338059743748096.0, "train_loss": 2.065241442098246, "epoch": 1.0, "step": 154}]
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