Update README.md

README.md

@@ -1,31 +1,132 @@
----
-base_model: []
-library_name: transformers
-tags:
-- mergekit
-- merge
-
----
-# output-model-directory
-
-This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
-
-## Merge Details
-### Merge Method
-
-This model was merged using the passthrough merge method.
-
-### Models Merged
-
-The following models were included in the merge:
-* ./3b + ./thinking-3b
-
-### Configuration
-
-The following YAML configuration was used to produce this model:
-
-```yaml
-models:
-  - model: ./3b+./thinking-3b
-merge_method: passthrough
-```
+---
+base_model:
+- meta-llama/Llama-3.2-3B-Instruct
+library_name: transformers
+tags:
+- mergekit
+- merge
+license: llama3.2
+datasets:
+- Fischerboot/small-boi-thinkin
+language:
+- en
+---
+# Llama-3.2-3B-SmartBoi
+
+This is a finetune to include <thinking> tags (plus others).
+
+It makes this model a lot smarter, alltho the tags are only used in english.
+
+This model has not been made uncensored.
+
+## Prompt Template
+
+This Model uses Llama-3 Chat:
+
+```
+<|begin_of_text|><|start_header_id|>system<|end_header_id|>
+
+This is text
+
+{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+```
+
+## Finetune Info:
+
+The following YAML configuration was used to finetune this model:
+
+```yaml
+base_model: alpindale/Llama-3.2-3B-Instruct
+model_type: LlamaForCausalLM
+tokenizer_type: AutoTokenizer
+
+load_in_8bit: false
+load_in_4bit: true
+strict: false
+
+chat_template: llama3
+datasets:
+  - path: Fischerboot/small-boi-thinkin
+    type: sharegpt
+    conversation: llama3
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.1
+output_dir: ./outputs/yuh
+
+adapter: qlora
+lora_model_dir:
+
+sequence_len: 4096
+sample_packing: false
+pad_to_sequence_len: true
+
+lora_r: 32
+lora_alpha: 16
+lora_dropout: 0.05
+lora_target_linear: true
+lora_fan_in_fan_out:
+lora_target_modules:
+  - gate_proj
+  - down_proj
+  - up_proj
+  - q_proj
+  - v_proj
+  - k_proj
+  - o_proj
+
+wandb_project:
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+
+gradient_accumulation_steps: 1
+micro_batch_size: 1
+num_epochs: 1
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.0002
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+loss_watchdog_threshold: 8.0
+loss_watchdog_patience: 3
+
+eval_sample_packing: false
+warmup_steps: 10
+evals_per_epoch: 2
+eval_table_size:
+eval_max_new_tokens: 128
+saves_per_epoch: 2
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+  bos_token: "<|begin_of_text|>"
+  eos_token: "<|end_of_text|>"
+  pad_token: "<|end_of_text|>"
+```
+
+### Training results:
+
+
+| Training Loss | Epoch  | Step  | Validation Loss |
+|:-------------:|:------:|:-----:|:---------------:|
+| 1.5032        | 0.0000 | 1     | 1.6556          |
+| 1.2011        | 0.5000 | 10553 | 0.6682          |