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README.md CHANGED
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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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+ base_model: mistralai/Mistral-Nemo-Base-2407
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: home/ubuntu/Tess-Nemo
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+ results: []
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+ ---
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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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+
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+ [<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
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+ <details><summary>See axolotl config</summary>
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+
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+ axolotl version: `0.4.1`
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+ ```yaml
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+ base_model: mistralai/Mistral-Nemo-Base-2407
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+ model_type: AutoModelForCausalLM
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+ tokenizer_type: AutoTokenizer
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+
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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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+
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+ datasets:
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+ - path: /home/ubuntu/Tess-3.0/Tess-3.0-multi_turn_chatml.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /home/ubuntu/Tess-3.0/Tess-3.0-single_turn_chatml.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /home/ubuntu/Tess-v2.5-FULL-DATASET/tess-v1.5b-chatml.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /home/ubuntu/Tess-v2.5-FULL-DATASET/Trinity-33B-v1.0-chatml.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /home/ubuntu/Tess-v2.5-FULL-DATASET/synthia-3-v1-1-chatml.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /home/ubuntu/Tess-v2.5-FULL-DATASET/Capybara-ShareGPT/CapybaraPure_Decontaminated.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /home/ubuntu/Tess-v2.5-FULL-DATASET/Dolphin-2.9/toolbench_instruct_j1s1_3k_unfiltered.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /home/ubuntu/Tess-v2.5-FULL-DATASET/Dolphin-2.9/toolbench_negative_unfiltered.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /home/ubuntu/Tess-v2.5-FULL-DATASET/Dolphin-2.9/toolbench_react_10p_unfiltered.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /home/ubuntu/Tess-v2.5-FULL-DATASET/Dolphin-2.9/toolbench_tflan_cot_30p_unfiltered.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+
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+ chat_template: chatml
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+
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+ dataset_prepared_path: last_run_prepared_nemo
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+ val_set_size: 0.0
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+ output_dir: /home/ubuntu/Tess-Nemo
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+
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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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+
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+ gradient_accumulation_steps: 4
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+ micro_batch_size: 3
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+ num_epochs: 1
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+ logging_steps: 1
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+ optimizer: paged_adamw_32bit
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+ lr_scheduler: constant
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+ learning_rate: 1e-6
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+
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+ wandb_project: kindo-lambda-labs
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+ wandb_watch:
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+ wandb_run_id:
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+ wandb_log_model:
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+
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+ train_on_inputs: false
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+ group_by_length: false
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+ bf16: auto
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+ fp16:
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+ tf32: false
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+
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+ gradient_checkpointing: true
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+ gradient_checkpointing_kwargs:
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+ use_reentrant: false
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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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+ saves_per_epoch: 10
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+ evals_per_epoch:
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+ save_total_limit: 2
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+ save_steps:
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+ eval_sample_packing: false
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+ debug:
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+ deepspeed: /home/ubuntu/axolotl/deepspeed_configs/zero3_bf16.json
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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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+ bos_token: "<|im_start|>"
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+ eos_token: "<|im_end|>"
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+ pad_token: "<|end_of_text|>"
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+
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+ ```
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+
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+ </details><br>
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+
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+ # home/ubuntu/Tess-Nemo
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+
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+ This model is a fine-tuned version of [mistralai/Mistral-Nemo-Base-2407](https://huggingface.co/mistralai/Mistral-Nemo-Base-2407) on the None dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-06
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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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+ - distributed_type: multi-GPU
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+ - num_devices: 8
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 96
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+ - total_eval_batch_size: 24
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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_steps: 69
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+ - num_epochs: 1
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.0.dev0
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+ - Pytorch 2.4.0+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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+ {
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+ "_name_or_path": "mistralai/Mistral-Nemo-Base-2407",
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+ "MistralForCausalLM"
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+ "head_dim": 128,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "num_hidden_layers": 40,
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 1000000.0,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.44.0.dev0",
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+ "use_cache": false,
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+ "vocab_size": 131075
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+ }
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