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Model: AdamGrzesik/Samantha-PL-AG-Mistral-7B-v0.2
Source: Original Platform

README.md

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+---
+base_model: alpindale/Mistral-7B-v0.2-hf
+tags:
+- generated_from_trainer
+model-index:
+- name: AdamGrzesik/Samantha-PL-AG-Mistral-7B-v0.2
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<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)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.4.0`
+```yaml
+
+base_model: alpindale/Mistral-7B-v0.2-hf
+model_type: MistralForCausalLM
+tokenizer_type: LlamaTokenizer
+is_mistral_derived_model: true
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: /workspace/datasets/Samantha-PL-AG-axolotl.json
+    type: sharegpt
+
+chat_template: chatml
+
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.001
+output_dir: /workspace/Samantha
+
+sequence_len: 16384
+sample_packing: true
+pad_to_sequence_len: true
+
+wandb_project: 
+wandb_entity:
+wandb_watch:
+wandb_run_id:
+wandb_log_model:
+
+gradient_accumulation_steps: 8
+micro_batch_size: 3
+num_epochs: 4
+adam_beta2: 0.95
+adam_epsilon: 0.00001
+max_grad_norm: 1.0
+lr_scheduler: cosine
+learning_rate: 0.000005
+optimizer: adamw_bnb_8bit
+
+train_on_inputs: false
+group_by_length: false
+bf16: true
+fp16: false
+tf32: false
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_steps: 10
+
+eval_steps: 73
+eval_table_size:
+eval_table_max_new_tokens:
+eval_sample_packing: false
+saves_per_epoch: 
+save_steps: 73
+save_total_limit: 2
+debug:
+deepspeed: deepspeed_configs/zero3_bf16.json
+weight_decay: 0.1
+fsdp:
+fsdp_config:
+special_tokens:
+  eos_token: "<|im_end|>"
+tokens:
+  - "<|im_start|>"
+
+```
+
+</details><br>
+
+# AdamGrzesik/Samantha-PL-AG-Mistral-7B-v0.2
+
+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 Samanta-PL-AG-axolotl dataset.
+
+
+
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-06
+- train_batch_size: 3
+- eval_batch_size: 3
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 48
+- total_eval_batch_size: 6
+- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 4
+
+