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README.md

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+---
+license: mit
+base_model: microsoft/Phi-3-mini-128k-instruct
+tags:
+- generated_from_trainer
+model-index:
+- name: phi3-sft-out
+  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-mini-128k-instruct
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+trust_remote_code: true
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: sosoai/mixed_dataset
+    type: alpaca
+
+dataset_prepared_path:
+val_set_size: 0.05
+output_dir: ./phi3-sft-out
+
+sequence_len: 2048
+sample_packing: true
+pad_to_sequence_len: true
+
+adapter:
+lora_model_dir:
+lora_r:
+lora_alpha:
+lora_dropout:
+lora_target_linear:
+lora_fan_in_fan_out:
+
+wandb_project:
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+
+gradient_accumulation_steps: 1
+micro_batch_size: 2
+num_epochs: 5
+optimizer: adamw_torch
+adam_beta2: 0.95
+adam_epsilon: 0.00001
+max_grad_norm: 1.0
+lr_scheduler: cosine
+learning_rate: 0.000003
+
+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
+eval_sample_packing: False
+evals_per_epoch: 4
+saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 0.1
+fsdp:
+fsdp_config:
+resize_token_embeddings_to_32x: true
+special_tokens:
+  pad_token: "<|endoftext|>"
+
+```
+
+</details><br>
+
+# phi3-sft-out
+
+This model is a fine-tuned version of [microsoft/Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2406
+
+## 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: 3e-06
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 4.6772        | 0.0   | 1    | 1.3794          |
+| 3.1471        | 0.25  | 175  | 1.2942          |
+| 3.0306        | 0.5   | 350  | 1.2572          |
+| 2.7486        | 0.75  | 525  | 1.2491          |
+| 2.7702        | 1.0   | 700  | 1.2467          |
+| 2.6302        | 1.24  | 875  | 1.2458          |
+| 2.8356        | 1.49  | 1050 | 1.2436          |
+| 2.7697        | 1.74  | 1225 | 1.2418          |
+| 2.7226        | 2.0   | 1400 | 1.2415          |
+| 2.7363        | 2.23  | 1575 | 1.2411          |
+| 2.6754        | 2.48  | 1750 | 1.2407          |
+| 2.9697        | 2.73  | 1925 | 1.2407          |
+| 2.6213        | 2.99  | 2100 | 1.2406          |
+| 2.6752        | 3.23  | 2275 | 1.2407          |
+| 2.7226        | 3.48  | 2450 | 1.2404          |
+| 2.6131        | 3.73  | 2625 | 1.2405          |
+| 2.7255        | 3.98  | 2800 | 1.2404          |
+| 2.7335        | 4.21  | 2975 | 1.2404          |
+| 2.7924        | 4.46  | 3150 | 1.2406          |
+| 2.6851        | 4.71  | 3325 | 1.2406          |
+
+
+### Framework versions
+
+- Transformers 4.40.0.dev0
+- Pytorch 2.1.1
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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config.json

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