End of training

README.md

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+---
+license: llama3
+base_model: meta-llama/Meta-Llama-3-8B
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: Llama-3-8B-Magpie-Mix-RC
+  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: meta-llama/Meta-Llama-3-8B
+model_type: LlamaForCausalLM
+tokenizer_type: AutoTokenizer
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: Magpie-Align/Magpie-Reasoning-150K
+    type: sharegpt
+    conversation: llama3
+  - path: Magpie-Align/Magpie-Qwen2-Pro-200K-Chinese
+    type: sharegpt
+    conversation: llama3
+  - path: Magpie-Align/Magpie-Pro-MT-300K-v0.1
+    type: sharegpt
+    conversation: llama3
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.001
+output_dir: /home/cc/axolotl/axolotl_out/Llama-3-8B-base-magpie-RC
+
+sequence_len: 8192
+sample_packing: true
+eval_sample_packing: false
+pad_to_sequence_len: true
+
+wandb_project: SynDa
+wandb_entity:
+wandb_watch:
+wandb_name: Llama-3-8B-base-150KR-Llama3-Pro-MT-300K-C
+wandb_log_model:
+hub_model_id: Magpie-Align/Llama-3-8B-Magpie-Mix-RC
+
+gradient_accumulation_steps: 32
+micro_batch_size: 1
+num_epochs: 2
+optimizer: paged_adamw_8bit
+lr_scheduler: cosine
+learning_rate: 2e-5
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+early_stopping_patience:
+resume_from_checkpoint:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_ratio: 0.1
+evals_per_epoch: 5
+eval_table_size:
+saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+  pad_token: <|end_of_text|>
+
+```
+
+</details><br>
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/uw-nsl/SynDa/runs/tw9z4syg)
+# Llama-3-8B-Magpie-Mix-RC
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4611
+
+## 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
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 128
+- total_eval_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 98
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.8616        | 0.0019 | 1    | 0.8870          |
+| 0.5554        | 0.2013 | 106  | 0.5568          |
+| 0.5067        | 0.4027 | 212  | 0.5065          |
+| 0.4728        | 0.6040 | 318  | 0.4865          |
+| 0.4681        | 0.8054 | 424  | 0.4740          |
+| 0.4563        | 1.0067 | 530  | 0.4662          |
+| 0.4115        | 1.1944 | 636  | 0.4642          |
+| 0.3993        | 1.3957 | 742  | 0.4620          |
+| 0.4048        | 1.5971 | 848  | 0.4613          |
+| 0.4167        | 1.7984 | 954  | 0.4611          |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.3.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": 128001,
+  "max_length": 4096,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.42.3"
+}

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