Model save
Browse files- README.md +62 -0
- adapter_config.json +34 -0
- adapter_model.safetensors +3 -0
- all_results.json +9 -0
- runs/May24_04-53-15_ip-172-31-69-60.ec2.internal/events.out.tfevents.1716526862.ip-172-31-69-60.ec2.internal.27807.0 +3 -0
- runs/May24_05-03-47_ip-172-31-69-60.ec2.internal/events.out.tfevents.1716527039.ip-172-31-69-60.ec2.internal.42893.0 +3 -0
- runs/May24_05-17-30_ip-172-31-69-60.ec2.internal/events.out.tfevents.1716527861.ip-172-31-69-60.ec2.internal.12665.0 +3 -0
- runs/May24_05-18-08_ip-172-31-69-60.ec2.internal/events.out.tfevents.1716527906.ip-172-31-69-60.ec2.internal.13789.0 +3 -0
- runs/May24_21-07-49_ip-172-31-69-60.ec2.internal/events.out.tfevents.1716585001.ip-172-31-69-60.ec2.internal.8004.0 +3 -0
- runs/May25_05-25-09_ip-172-31-69-60.ec2.internal/events.out.tfevents.1716614734.ip-172-31-69-60.ec2.internal.19961.0 +3 -0
- runs/May29_01-56-36_ip-172-31-69-60.ec2.internal/events.out.tfevents.1716948109.ip-172-31-69-60.ec2.internal.18865.0 +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +43 -0
- train_results.json +9 -0
- trainer_state.json +0 -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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- 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: mistral20p
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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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# mistral20p
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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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## 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: 8
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 256
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- total_eval_batch_size: 4
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1
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### Training results
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.41.1
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- Pytorch 2.2.2+cu121
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- Datasets 2.19.1
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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": "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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"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": 8,
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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": 6,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"gate_proj",
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"o_proj",
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"down_proj",
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"up_proj",
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"k_proj",
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"v_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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all_results.json
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{
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"epoch": 1.0,
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"total_flos": 1.6764562374852608e+16,
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"train_loss": 0.0,
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"train_runtime": 0.0156,
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"train_samples": 103932,
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"train_samples_per_second": 6662118.554,
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"train_steps_per_second": 104099.609
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}
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runs/May24_05-18-08_ip-172-31-69-60.ec2.internal/events.out.tfevents.1716527906.ip-172-31-69-60.ec2.internal.13789.0
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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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},
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"pad_token": "</s>",
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"unk_token": {
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"lstrip": false,
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}
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}
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tokenizer.json
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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tokenizer_config.json
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{
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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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"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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"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
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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": 2048,
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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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train_results.json
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{
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"epoch": 1.0,
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"total_flos": 1.6764562374852608e+16,
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"train_samples": 103932,
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}
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trainer_state.json
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training_args.bin
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