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Model: gardner/TinyLlama-1.1B-Instruct-3T Source: Original Platform
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README.md
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README.md
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---
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language:
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- en
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thumbnail: "url to a thumbnail used in social sharing"
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tags:
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- instruct
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- openhermes
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- tinyllama
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license: apache-2.0
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datasets:
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- teknium/openhermes
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metrics:
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- metric1
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- metric2
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base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
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---
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## TinyLlama 1.1B Instruct 3T
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<img src="https://huggingface.co/gardner/TinyLlama-1.1B-Instruct-3T/resolve/main/tinyllama-1.1b-instruct.webp?download=true" alt="TinyLlama Instruct" />
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This is the 3T base model trained on openhermes instruct dataset for 4 epochs. It is intended to be used for further finetuning.
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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## Loss
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<img src="https://huggingface.co/gardner/TinyLlama-1.1B-Instruct-3T/resolve/main/loss.webp?download=true" alt="Loss chart" />
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## axolotl config file: lora.yml
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```yaml
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base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
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model_type: LlamaForCausalLM
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tokenizer_type: LlamaTokenizer
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is_llama_derived_model: true
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load_in_8bit: true
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load_in_4bit: false
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strict: false
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datasets:
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- path: teknium/openhermes
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type: alpaca
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dataset_prepared_path:
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val_set_size: 0.05
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output_dir: ./tiny-llama-instruct-lora
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sequence_len: 4096
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sample_packing: true
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pad_to_sequence_len: true
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adapter: lora
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lora_model_dir:
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lora_r: 32
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lora_alpha: 16
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lora_dropout: 0.05
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lora_target_linear: true
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lora_fan_in_fan_out:
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gradient_accumulation_steps: 4
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micro_batch_size: 2
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num_epochs: 4
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optimizer: adamw_bnb_8bit
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lr_scheduler: cosine
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learning_rate: 0.0002
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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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evals_per_epoch: 4
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saves_per_epoch: 1
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debug:
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deepspeed:
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weight_decay: 0.0
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fsdp:
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fsdp_config:
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special_tokens:
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```
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config.json
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config.json
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 5632,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 22,
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"num_key_value_heads": 4,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.37.0.dev0",
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"vocab_size": 32000
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}
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tinyllama-1.1b-instruct.webp
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