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README.md

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+---
+library_name: transformers
+license: other
+base_model: IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml
+tags:
+- generated_from_trainer
+model-index:
+- name: outputs/out
+  results: []
+---
+### exl2 quant (measurement.json in main branch)
+---
+### check revisions for quants
+---
+
+
+<!-- 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: IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: MangoHQ/Gryphe-3.5-16k-Subset
+    type: sharegpt
+    conversation: chatml
+  - path: Epiculous/Synthstruct-Gens-v1-Filtered-n-Cleaned
+    type: sharegpt
+    conversation: chatml
+  - path: anthracite-org/Stheno-Data-Filtered
+    type: sharegpt
+    conversation: chatml
+  - path: Epiculous/SynthRP-Gens-v1-Filtered-n-Cleaned
+    type: sharegpt
+    conversation: chatml
+  - path: lodrick-the-lafted/NopmWritingStruct
+    type: sharegpt
+    conversation: chatml
+  - path: anthracite-org/kalo-opus-instruct-22k-no-refusal
+    type: sharegpt
+    conversation: chatml
+
+chat_template: chatml
+
+val_set_size: 0.01
+output_dir: ./outputs/out
+
+adapter:
+lora_r:
+lora_alpha:
+lora_dropout:
+lora_target_linear:
+
+sequence_len: 16384
+# sequence_len: 32768
+sample_packing: true
+eval_sample_packing: false
+pad_to_sequence_len: true
+
+wandb_project: tinymagnumv2
+wandb_entity:
+wandb_watch:
+wandb_name: tinymagnumv2
+wandb_log_model:
+
+gradient_accumulation_steps: 32
+micro_batch_size: 1
+num_epochs: 2
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.00002
+weight_decay: 0.05
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: true
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_ratio: 0.1
+evals_per_epoch: 4
+eval_table_size:
+eval_max_new_tokens: 128
+saves_per_epoch: 1
+
+debug:
+deepspeed:
+fsdp:
+fsdp_config:
+
+special_tokens:
+  pad_token: <|finetune_right_pad_id|>
+
+```
+
+</details><br>
+
+# outputs/out
+
+This model is a fine-tuned version of [IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml](https://huggingface.co/IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2014
+
+## 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: 2e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 36
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.6733        | 0.0051 | 1    | 1.6590          |
+| 1.4425        | 0.2523 | 49   | 1.3040          |
+| 1.3564        | 0.5047 | 98   | 1.2451          |
+| 1.333         | 0.7570 | 147  | 1.2201          |
+| 1.2936        | 1.0093 | 196  | 1.2077          |
+| 1.2235        | 1.2462 | 245  | 1.2041          |
+| 1.2651        | 1.4986 | 294  | 1.2018          |
+| 1.238         | 1.7509 | 343  | 1.2014          |
+
+
+### Framework versions
+
+- Transformers 4.45.0.dev0
+- Pytorch 2.4.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1