Update README.md

README.md

@@ -1,134 +1,54 @@
 ---
-datasets: Intel/orca_dpo_pairs
 license: apache-2.0
-base_model: NeuralNovel/Gecko-7B-v0.1
-model-index:
-- name: out
-  results: []
+base_model: mistralai/Mistral-7B-Instruct-v0.2
+library_name: transformers
+inference: false
 ---
 
-[<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: NeuralNovel/Gecko-7B-v0.1
-model_type: MistralForCausalLM
-tokenizer_type: LlamaTokenizer
-is_mistral_derived_model: true
-
-load_in_8bit: false
-load_in_4bit: false
-strict: false
-   
-datasets:
-  - path: Intel/orca_dpo_pairs
-    type:
-      system_prompt: ""
-      field_system: system
-      field_instruction: question
-      field_output: rejected
-      field_output: chosen
-      format: "[INST] {instruction} [/INST]"
-      no_input_format: "[INST] {instruction} [/INST]"   
-      
-dataset_prepared_path:
-val_set_size: 0.05
-output_dir: ./out
-
-sequence_len: 8192
-sample_packing: true
-pad_to_sequence_len: true
-eval_sample_packing: false
-
-wandb_project:
-wandb_entity:
-wandb_watch:
-wandb_name:
-wandb_log_model:
-
-gradient_accumulation_steps: 4
-micro_batch_size: 2
-num_epochs: 1
-optimizer: adamw_bnb_8bit
-lr_scheduler: cosine
-learning_rate: 0.000005
-
-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
-eval_table_size:
-eval_table_max_new_tokens: 128
-saves_per_epoch: 1
-debug:
-deepspeed:
-weight_decay: 0.0
-fsdp:
-fsdp_config:
-special_tokens:
-  bos_token: "<s>"
-  eos_token: "</s>"
-  unk_token: "<unk>"
+![Gecko](https://i.ibb.co/z5hMcBw/OIG-42.jpg)
 
-```
 
-</details><br>
+# Gecko-7B-v0.1
+Designed to generate instructive and narrative text, with a specific focus on mathematics & numeracy.
+
+Full-parameter fine-tune (FFT) of Mistral-7B-Instruct-v0.2, with apache-2.0 license.
+
+You may download and use this model for research, training and commercial purposes.
 
+This model is suitable for commercial deployment.
 
-## Model description
+### Data-set
 
-More information needed
+The model was finetuned using the Neural-Mini-Math dataset (Currently Private)
 
-## Intended uses & limitations
 
-More information needed
+### Summary
 
-## Training and evaluation data
+Fine-tuned with the intention of following all prompt directions, making it more suitable for roleplay and problem solving.
 
-Trained using an A100 for 2 hours.
+#### Out-of-Scope Use
 
-## Training procedure
+The model may not perform well in scenarios unrelated to instructive and narrative text generation. Misuse or applications outside its designed scope may result in suboptimal outcomes.
 
-### Training hyperparameters
+### Bias, Risks, and Limitations
 
-The following hyperparameters were used during training:
-- learning_rate: 5e-06
-- train_batch_size: 2
-- eval_batch_size: 2
-- seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 8
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_steps: 10
-- num_epochs: 1
+This model may not work as intended. As such all users are encouraged to use this model with caution and respect.
 
-### Training results
+This model is for testing and research purposes only, it has reduced levels of alignment and as a result may produce NSFW or harmful content.
+The user is responsible for their output and must use this model responsibly.
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 1.1108        | 0.01  | 1    | 1.2742          |
-| 1.0158        | 0.26  | 19   | 0.8302          |
-| 0.8999        | 0.51  | 38   | 0.8009          |
-| 0.851         | 0.77  | 57   | 0.7924          |
+### Hardware and Training
 
 
-### Framework versions
 
-- Transformers 4.37.0.dev0
-- Pytorch 2.0.1+cu117
-- Datasets 2.16.1
-- Tokenizers 0.15.0
+```
+
+  n_epochs = 3,
+  n_checkpoints = 3,
+  batch_size = 12,
+  learning_rate = 1e-5,
+
+
+```
+
+*Sincere appreciation to Techmind for their generous sponsorship.*