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Model: gardner/TinyLlama-1.1B-Instruct-3T
Source: Original Platform

README.md

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+---
+language:
+  - en
+thumbnail: "url to a thumbnail used in social sharing"
+tags:
+- instruct
+- openhermes
+- tinyllama
+license: apache-2.0
+datasets:
+- teknium/openhermes
+metrics:
+- metric1
+- metric2
+base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
+---
+
+## TinyLlama 1.1B Instruct 3T
+
+<img src="https://huggingface.co/gardner/TinyLlama-1.1B-Instruct-3T/resolve/main/tinyllama-1.1b-instruct.webp?download=true" alt="TinyLlama Instruct" />
+
+This is the 3T base model trained on openhermes instruct dataset for 4 epochs. It is intended to be used for further finetuning.
+
+[<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)
+
+
+## Loss
+
+<img src="https://huggingface.co/gardner/TinyLlama-1.1B-Instruct-3T/resolve/main/loss.webp?download=true" alt="Loss chart" />
+
+
+## axolotl config file: lora.yml
+
+```yaml
+base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
+model_type: LlamaForCausalLM
+tokenizer_type: LlamaTokenizer
+is_llama_derived_model: true
+
+load_in_8bit: true
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: teknium/openhermes
+    type: alpaca
+dataset_prepared_path:
+val_set_size: 0.05
+output_dir: ./tiny-llama-instruct-lora
+
+sequence_len: 4096
+sample_packing: true
+pad_to_sequence_len: true
+
+adapter: lora
+lora_model_dir:
+lora_r: 32
+lora_alpha: 16
+lora_dropout: 0.05
+lora_target_linear: true
+lora_fan_in_fan_out:
+
+gradient_accumulation_steps: 4
+micro_batch_size: 2
+num_epochs: 4
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.0002
+
+train_on_inputs: false
+group_by_length: false
+bf16: true
+fp16: false
+tf32: false
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_steps: 10
+evals_per_epoch: 4
+saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+```