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README.md

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+---
+license: mit
+base_model: microsoft/Phi-3-medium-128k-instruct
+tags:
+- generated_from_trainer
+model-index:
+- name: outputs/phi3-medium-128k-14b.8e6
+  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/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: `0.4.0`
+```yaml
+base_model: microsoft/Phi-3-medium-128k-instruct
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+trust_remote_code: true
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+use_wandb: true
+wandb_project: shisa-v2
+wandb_entity: augmxnt
+wandb_name: shisa-llama3-70b-v1.8e6
+
+chat_template: chatml
+datasets:
+  - path: augmxnt/ultra-orca-boros-en-ja-v1
+    type: sharegpt
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.05
+output_dir: ./outputs/phi3-medium-128k-14b.8e6
+
+sequence_len: 4096
+sample_packing: true
+pad_to_sequence_len: true
+neftune_noise_alpha: 5
+
+gradient_accumulation_steps: 4
+micro_batch_size: 2
+num_epochs: 3
+optimizer: paged_adamw_8bit
+adam_beta2: 0.95
+adam_epsilon: 0.00001
+max_grad_norm: 1.0
+lr_scheduler: linear
+learning_rate: 0.000008
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: true
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: True
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_steps: 100
+evals_per_epoch: 4
+saves_per_epoch: 1
+debug:
+deepspeed: axolotl/deepspeed_configs/zero3_bf16.json
+weight_decay: 0.1
+fsdp:
+fsdp_config:
+resize_token_embeddings_to_32x: true
+special_tokens:
+  pad_token: "<|endoftext|>"
+
+```
+
+</details><br>
+
+# outputs/phi3-medium-128k-14b.8e6
+
+This model is a fine-tuned version of [microsoft/Phi-3-medium-128k-instruct](https://huggingface.co/microsoft/Phi-3-medium-128k-instruct) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3339
+
+## 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: 8e-06
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- total_eval_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.8309        | 0.0021 | 1    | 2.3406          |
+| 0.7688        | 0.2513 | 121  | 0.4958          |
+| 0.6435        | 0.5026 | 242  | 0.3830          |
+| 0.5286        | 0.7539 | 363  | 0.3626          |
+| 0.5559        | 1.0052 | 484  | 0.3549          |
+| 0.4651        | 1.2425 | 605  | 0.3486          |
+| 0.5294        | 1.4938 | 726  | 0.3432          |
+| 0.5453        | 1.7451 | 847  | 0.3392          |
+| 0.5258        | 1.9964 | 968  | 0.3376          |
+| 0.4805        | 2.2331 | 1089 | 0.3357          |
+| 0.4552        | 2.4844 | 1210 | 0.3352          |
+| 0.5358        | 2.7357 | 1331 | 0.3339          |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

added_tokens.json

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+}

config.json

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generation_config.json

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+  "transformers_version": "4.40.2"
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