Create README.md

README.md

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+---
+tags:
+- generated_from_trainer
+base_model: Locutusque/TinyMistral-248M-v2.5
+model-index:
+- name: TinyMistral-v2.5-MiniPile-Guidelines-E1/
+  results: []
+datasets:
+- JeanKaddour/minipile
+- epfl-llm/guidelines
+license: apache-2.0
+language:
+- en
+---
+
+<!-- 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: `0.3.0`
+```yaml
+base_model: Locutusque/TinyMistral-248M-v2.5
+model_type: MistralForCausalLM
+is_mistral_derived_model: true
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+dataset_processes: 20
+
+datasets:
+  - path: epfl-llm/guidelines
+    type: completion
+    field: clean_text
+  - path: JeanKaddour/minipile
+    type: completion
+    field: text
+  
+dataset_prepared_path: TinyMistral-FFT-data
+val_set_size: 0.001
+output_dir: ./TinyMistral-FFT
+
+sequence_len: 2048
+sample_packing: false
+pad_to_sequence_len: true
+
+adapter:
+lora_model_dir:
+lora_r:
+lora_alpha:
+lora_dropout:
+lora_target_linear:
+lora_fan_in_fan_out:
+
+# wandb configuration
+wandb_project: TinyMistral-FFT
+wandb_watch:
+wandb_run_id:
+wandb_log_model: 
+
+gradient_accumulation_steps: 8
+micro_batch_size: 1
+num_epochs: 1
+optimizer: paged_adamw_32bit
+lr_scheduler: constant
+cosine_min_lr_ratio: 
+
+learning_rate: 0.00005
+
+train_on_inputs: true
+group_by_length: false
+bf16: false
+fp16: false
+tf32: true
+
+gradient_checkpointing: false
+early_stopping_patience:
+resume_from_checkpoint:
+auto_resume_from_checkpoints: false
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: false
+flash_attn_cross_entropy: false
+flash_attn_rms_norm: true
+flash_attn_fuse_qkv: false
+flash_attn_fuse_mlp: true
+
+warmup_steps: 10
+evals_per_epoch: 100
+# eval_steps: 10
+eval_table_size:
+saves_per_epoch: 50
+debug:
+deepspeed: #deepspeed/zero2.json # multi-gpu only
+weight_decay: 0
+
+# tokens:
+
+
+special_tokens:
+  bos_token: "<|bos|>"
+  eos_token: "<|endoftext|>"
+  unk_token: "<unk>"
+```
+
+</details><br>
+
+# TinyMistral-StructureEvaluator
+
+This model was further trained on the epfl-llm/guidelines and JeanKaddour/minipile datasets.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- training_steps: 197279
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.37.0.dev0
+- Pytorch 2.0.1+cu117
+- Datasets 2.15.0
+- Tokenizers 0.15.0