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Browse files- configs/dolphin-mistral-7b.yml +86 -0
- configs/modify-tokenizer.py +19 -0
configs/dolphin-mistral-7b.yml
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base_model: /workspace/models/Mistral-7B-v0.1
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model_type: MistralForCausalLM
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tokenizer_type: LlamaTokenizer
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is_mistral_derived_model: true
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load_in_8bit: false
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load_in_4bit: false
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strict: false
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datasets:
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- path: /workspace/datasets/dolphin/dolphin201.jsonl
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type: alpaca_w_system.load_open_orca_chatml
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- path: /workspace/datasets/dolphin-coder-translate.jsonl
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type: alpaca_w_system.load_open_orca_chatml
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- path: /workspace/datasets/dolphin-coder-codegen.jsonl
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type: alpaca_w_system.load_open_orca_chatml
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- path: /workspace/datasets/data-evol_instruct-decontaminated-converted.jsonl
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type: alpaca_w_system.load_open_orca_chatml
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- path: /workspace/datasets/data-oss_instruct-decontaminated-converted.jsonl
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type: alpaca_w_system.load_open_orca_chatml
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- path: /workspace/datasets/CapybaraPure_Decontaminated-converted.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/not_samantha_norefusals.jsonl
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type: sharegpt
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conversation: chatml
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- path: /workspace/datasets/openhermes.json
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type: alpaca
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prompt_style: chatml
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dataset_prepared_path: last_run_prepared
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val_set_size: 0.005
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output_dir: /workspace/dolphin-2.6-mistral-7b
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sequence_len: 16384
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sample_packing: true
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pad_to_sequence_len: true
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wandb_project: dolphin
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wandb_entity:
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wandb_watch:
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wandb_run_id:
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wandb_log_model:
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gradient_accumulation_steps: 8
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micro_batch_size: 3
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num_epochs: 4
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adam_beta2: 0.95
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adam_epsilon: 0.00001
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max_grad_norm: 1.0
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lr_scheduler: cosine
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learning_rate: 0.000005
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optimizer: adamw_bnb_8bit
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train_on_inputs: false
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group_by_length: false
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bf16: true
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fp16: false
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tf32: false
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gradient_checkpointing: true
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early_stopping_patience:
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resume_from_checkpoint:
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local_rank:
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logging_steps: 1
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xformers_attention:
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flash_attention: true
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warmup_steps: 10
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eval_steps: 73
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eval_table_size:
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eval_table_max_new_tokens:
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eval_sample_packing: true
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saves_per_epoch:
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save_steps: 73
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save_total_limit: 2
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debug:
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deepspeed: deepspeed/zero3.json
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weight_decay: 0.1
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fsdp:
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fsdp_config:
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special_tokens:
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eos_token: "</s>"
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tokens:
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- "<|im_start|>"
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configs/modify-tokenizer.py
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from transformers import AutoTokenizer
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tokenizer = AutoTokenizer.from_pretrained("/workspace/dolphin-2.6-mistral-7b-hf")
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# 1. Remove the "</s>" token from the vocabulary
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vocab = tokenizer.get_vocab()
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del vocab['</s>']
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vocab['<|im_end|>'] = 2
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tokenizer = AutoTokenizer.from_pretrained(
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"/workspace/dolphin-2.6-mistral-7b-hf",
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vocab=vocab
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)
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tokenizer.eos_token = "<|im_end|>"
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tokenizer.pad_token = "<|im_end|>"
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# 5. Save the modified tokenizer
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tokenizer.save_pretrained('/workspace/dolphin-new-tokenizer/')
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