Update README.md

README.md

@@ -193,52 +193,3 @@ The training was done for 1 epochs We used  4 x [RTX 3090s](https://www.nvidia.c
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/66c26b6fb01b19d8c3c2467b/bL0o_4bvbkmzAvK3W8gu2.png)
 
 
-optimizer: paged_adamw_8bit
-lr_scheduler: constant_with_warmup
-learning_rate: 1e-6
-max_grad_norm: 0.01
-
-train_on_inputs: false
-group_by_length: false
-bf16: auto
-fp16:
-tf32: true
-
-gradient_checkpointing: unsloth
-early_stopping_patience:
-resume_from_checkpoint:
-local_rank:
-logging_steps: 1
-xformers_attention:
-flash_attention: true
-
-warmup_steps: 25
-evals_per_epoch: 4
-eval_table_size:
-eval_max_new_tokens: 128
-saves_per_epoch: 1
-debug:
-deepspeed:  /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json
-weight_decay: 0.0
-fsdp:
-fsdp_config:
-
-
-```
-
-</details><br>
-
-## Credits
-
-Thank you to [Lucy Knada](https://huggingface.co/lucyknada), [Intervitens](https://huggingface.co/intervitens),[Cgato](https://huggingface.co/cgato), [Kubernetes Bad](https://huggingface.co/kubernetes-bad) and the rest of [Anthracite](https://huggingface.co/anthracite-org) 
-
-
-## Training
-The training was done for 1 epochs We used  4 x [RTX 3090s](https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3090-3090ti/) GPUs graciously provided by [Intervitens](https://huggingface.co/intervitens) for the fine-tuning of the model. 
-
-[<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)
-
-## Safety
-
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/66c26b6fb01b19d8c3c2467b/bL0o_4bvbkmzAvK3W8gu2.png)
-