Upload folder using huggingface_hub

README.md

@@ -0,0 +1,168 @@
+---
+license: other
+base_model: meta-llama/Meta-Llama-3-8B
+tags:
+- generated_from_trainer
+model-index:
+- name: 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: meta-llama/Meta-Llama-3-8B
+model_type: LlamaForCausalLM
+tokenizer_type: AutoTokenizer
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: taozi555/bagel
+    type: sharegpt
+#  - path: jondurbin/cinematika-v0.1
+#    type: text
+  - path: MinervaAI/Aesir-Preview
+    type: sharegpt
+  - path: Norquinal/claude_multiround_chat_30k
+    type: sharegpt
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.05
+output_dir: ./out
+chat_template: alpaca
+
+sequence_len: 8192
+sample_packing: true
+pad_to_sequence_len: true
+
+wandb_project: waifu-8b
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+
+gradient_accumulation_steps: 4
+micro_batch_size: 2
+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_steps: 100
+eval_steps: 100
+eval_table_size:
+saves_per_epoch: 
+save_steps: 100
+save_total_limit: 20
+debug:
+deepspeed: /workspace/deepspeed.json
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+  pad_token: <|end_of_text|>
+
+```
+
+</details><br>
+
+# out
+
+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: 0.7773
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- total_eval_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.0419        | 0.0   | 1    | 1.1113          |
+| 0.9179        | 0.07  | 100  | 0.8886          |
+| 1.0123        | 0.14  | 200  | 0.8822          |
+| 0.9106        | 0.21  | 300  | 0.8701          |
+| 0.8992        | 0.28  | 400  | 0.8637          |
+| 0.7915        | 0.35  | 500  | 0.8527          |
+| 0.9123        | 0.42  | 600  | 0.8448          |
+| 0.7849        | 0.49  | 700  | 0.8381          |
+| 0.8381        | 0.56  | 800  | 0.8344          |
+| 0.7652        | 0.63  | 900  | 0.8230          |
+| 0.9006        | 0.7   | 1000 | 0.8167          |
+| 0.8589        | 0.77  | 1100 | 0.8088          |
+| 0.7635        | 0.84  | 1200 | 0.8016          |
+| 0.7696        | 0.91  | 1300 | 0.7951          |
+| 0.8476        | 0.98  | 1400 | 0.7879          |
+| 0.6031        | 1.03  | 1500 | 0.8063          |
+| 0.5386        | 1.09  | 1600 | 0.8065          |
+| 0.5298        | 1.16  | 1700 | 0.8015          |
+| 0.5736        | 1.23  | 1800 | 0.7979          |
+| 0.5761        | 1.3   | 1900 | 0.7939          |
+| 0.5576        | 1.37  | 2000 | 0.7917          |
+| 0.4814        | 1.44  | 2100 | 0.7879          |
+| 0.5146        | 1.51  | 2200 | 0.7842          |
+| 0.4577        | 1.58  | 2300 | 0.7832          |
+| 0.4821        | 1.65  | 2400 | 0.7806          |
+| 0.6088        | 1.72  | 2500 | 0.7782          |
+| 0.5113        | 1.79  | 2600 | 0.7785          |
+| 0.5861        | 1.86  | 2700 | 0.7779          |
+| 0.4885        | 1.93  | 2800 | 0.7773          |
+
+
+### Framework versions
+
+- Transformers 4.40.0.dev0
+- Pytorch 2.2.0+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:612c7706e9b94e1e3ab3c67def837ae331899a6d5979d8302aaf3a9944bad4f3
+size 16060563132