updated README

README.md

@@ -1,3 +1,159 @@
 ---
-license: apache-2.0
+base_model: pints-ai/1.5-Pints-16K-v0.1
+library_name: peft
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: tangledgroup/tangled-llama-pints-1.5b-v0.2-instruct
+  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/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.4.1`
+```yaml
+base_model: pints-ai/1.5-Pints-16K-v0.1
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+load_in_8bit: false
+load_in_4bit: true
+strict: false
+
+datasets:
+  - path: tangledgroup/tangled-llama-pints-1.5b-v0.2-dataset
+    type: sharegpt
+    conversation: chatml
+chat_template: chatml
+dataset_prepared_path:
+val_set_size: 0.05
+output_dir: ./outputs/qlora-out
+
+adapter: qlora
+lora_model_dir:
+
+sequence_len: 16384
+sample_packing: true
+pad_to_sequence_len: true
+
+lora_r: 32
+lora_alpha: 16
+lora_dropout: 0.05
+lora_target_modules:
+lora_target_linear: true
+lora_fan_in_fan_out:
+
+wandb_project:
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+
+gradient_accumulation_steps: 4
+micro_batch_size: 2
+num_epochs: 3
+optimizer: paged_adamw_32bit
+# optimizer: adamw_torch_fused
+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: 15.0
+loss_watchdog_patience: 3
+
+warmup_steps: 10
+evals_per_epoch: 3
+eval_table_size:
+saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+
+plugins:
+- axolotl.integrations.liger.LigerPlugin
+liger_rope: true
+liger_rms_norm: true
+liger_swiglu: true
+liger_fused_linear_cross_entropy: true
+```
+
+</details><br>
+
+# outputs/qlora-out
+
+This model is a fine-tuned version of [pints-ai/1.5-Pints-16K-v0.1](https://huggingface.co/pints-ai/1.5-Pints-16K-v0.1) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9847
+
+## 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: 0.0002
+- 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: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.1396        | 0.0011 | 1    | 1.1313          |
+| 1.0777        | 0.3332 | 295  | 1.0278          |
+| 1.0219        | 0.6665 | 590  | 1.0119          |
+| 1.0006        | 0.9997 | 885  | 1.0020          |
+| 1.0385        | 1.3307 | 1180 | 0.9954          |
+| 0.9405        | 1.6639 | 1475 | 0.9902          |
+| 0.9249        | 1.9972 | 1770 | 0.9867          |
+| 0.9951        | 2.3282 | 2065 | 0.9856          |
+| 0.9713        | 2.6616 | 2360 | 0.9848          |
+| 0.9576        | 2.9949 | 2655 | 0.9847          |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.45.0.dev0
+- Pytorch 2.4.1
+- Datasets 2.21.0
+- Tokenizers 0.19.1