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  ---
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  base_model: alpindale/Mistral-7B-v0.2-hf
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- tags:
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- - axolotl
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- - generated_from_trainer
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  model-index:
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  - name: Einstein-v6-7B
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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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- [<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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- <details><summary>See axolotl config</summary>
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-
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- axolotl version: `0.4.0`
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- ```yaml
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- base_model: alpindale/Mistral-7B-v0.2-hf
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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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-
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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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- chat_template: chatml
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- datasets:
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- - path: data/merged_all.json
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- ds_type: json
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- type: alpaca
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- conversation: chatml
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-
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- - path: data/gpteacher-instruct-special-alpaca.json
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- ds_type: json
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- type: gpteacher
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- conversation: chatml
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-
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- - path: data/wizardlm_evol_instruct_70k_random_half.json
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- ds_type: json
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- type: alpaca
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- conversation: chatml
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-
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- - path: data/capybara_sharegpt.json
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- ds_type: json
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- type: sharegpt
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- conversation: chatml
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-
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- - path: data/synthia-v1.3_sharegpt_12500.json
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- ds_type: json
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- type: sharegpt
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- conversation: chatml
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-
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- - path: data/cot_alpaca_gpt4_extracted_openhermes_2.5_sharegpt.json
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- ds_type: json
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- type: sharegpt
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- conversation: chatml
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-
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- - path: data/slimorca_dedup_filtered_95k_sharegpt.json
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- ds_type: json
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- type: sharegpt
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- conversation: chatml
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-
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- - path: data/airoboros_3.2_without_contextual_slimorca_orca_sharegpt.json
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- ds_type: json
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- type: sharegpt
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- conversation: chatml
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-
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- - path: data/allenai_wild_chat_gpt4_english_toxic_random_half_4k_sharegpt.json
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- ds_type: json
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- type: sharegpt
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- strict: false
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- conversation: chatml
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-
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- - path: data/pippa_bagel_repo_3k_sharegpt.json
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- ds_type: json
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- type: sharegpt
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- conversation: chatml
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-
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- - path: data/gpt4_data_lmys_1m_sharegpt.json
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- ds_type: json
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- type: sharegpt
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- conversation: chatml
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-
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- - path: data/sharegpt_gpt4_english.json
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- ds_type: json
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- type: sharegpt
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- conversation: chatml
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-
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- - path: data/no_robots_sharegpt.json
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- ds_type: json
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- type: sharegpt
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- strict: false
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- conversation: chatml
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-
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- - path: data/oasst_top1_from_fusechatmixture_sharegpt.json
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- ds_type: json
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- type: sharegpt
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- strict: false
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- conversation: chatml
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-
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- - path: data/everythinglm-data-v3_sharegpt.json
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- ds_type: json
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- type: sharegpt
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- strict: false
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- conversation: chatml
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-
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- dataset_prepared_path: last_run_prepared
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- # val_set_size: 0.005
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- val_set_size: 0.0
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-
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- do_bench_eval: true
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-
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- output_dir: ./Einstein-v6-7B-model
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-
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- sequence_len: 8192
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- sample_packing: true
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- pad_to_sequence_len: true
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- eval_sample_packing: false
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-
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- wandb_project: Einstein
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- wandb_entity:
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- wandb_watch:
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- wandb_name:
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- wandb_log_model:
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- hub_model_id: Weyaxi/Einstein-v6-7B
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-
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- save_safetensors: true
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-
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- gradient_accumulation_steps: 4
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- micro_batch_size: 1
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- num_epochs: 2
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- optimizer: adamw_bnb_8bit
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- lr_scheduler: cosine
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- learning_rate: 0.000005
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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: true
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- fp16: false
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- tf32: false
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-
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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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-
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- warmup_steps: 10
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- evals_per_epoch: 3 # changed
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- eval_table_size:
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- eval_table_max_new_tokens: 128
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- saves_per_epoch: 2 # changed
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- debug:
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-
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- deepspeed: 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: "<s>"
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- eos_token: "<|im_end|>"
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- unk_token: "<unk>"
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- tokens:
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- - "<|im_start|>"
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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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- # Einstein-v6-7B
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-
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- This model is a fine-tuned version of [alpindale/Mistral-7B-v0.2-hf](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf) 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: 5e-06
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- - train_batch_size: 1
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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: 9
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- - gradient_accumulation_steps: 4
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- - total_train_batch_size: 36
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- - total_eval_batch_size: 9
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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_steps: 10
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- - num_epochs: 2
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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 4.38.2
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- - Pytorch 2.1.2+cu118
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- - Datasets 2.18.0
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- - Tokenizers 0.15.0
 
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  ---
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  base_model: alpindale/Mistral-7B-v0.2-hf
 
 
 
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  model-index:
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  - name: Einstein-v6-7B
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  results: []
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+ license: other
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  ---
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/L47ZiS4p18ZGU3Dybecip.png)
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+ Checkpoints of [Weyaxi/Einstein-v6-7B](https://huggingface.co/Weyaxi/Einstein-v6-7B). Head to the main model for more information :)
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+ https://huggingface.co/Weyaxi/Einstein-v6-7B