End of training

README.md

@@ -0,0 +1,160 @@
+---
+license: llama3
+library_name: peft
+tags:
+- axolotl
+- generated_from_trainer
+base_model: meta-llama/Meta-Llama-3-8B
+model-index:
+- name: llama3-8b-hermes-sandals-sample-10k
+  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: ./data/openhermes2_5_10k.jsonl
+    type: sharegpt
+    conversation: llama3
+dataset_prepared_path: 
+val_set_size: 0.15
+output_dir: ./outputs_lora-out
+hub_model_id: venetis/llama3-8b-hermes-sandals-sample-10k
+
+data_seed: 117
+seed: 117
+
+chat_template: llama3
+adapter: lora
+lora_model_dir:
+lora_r: 32
+lora_alpha: 16
+lora_dropout: 0.05
+lora_target_linear: true
+lora_fan_in_fan_out:
+
+
+sequence_len: 4096
+sample_packing: true
+eval_sample_packing: true
+pad_to_sequence_len: true
+wandb_project: llama-3-8b-hermes-sandals-sample-10k
+wandb_entity: venetispall
+
+gradient_accumulation_steps: 4
+micro_batch_size: 2
+num_epochs: 4
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 2e-4
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+s2_attention:
+
+
+warmup_steps: 10
+evals_per_epoch: 4
+eval_table_size:
+eval_max_new_tokens: 128
+saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+   pad_token: <|end_of_text|>
+
+```
+
+</details><br>
+
+# llama3-8b-hermes-sandals-sample-10k
+
+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: 0.7611
+
+## 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: 0.0002
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 117
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.918         | 0.0102 | 1    | 0.9709          |
+| 0.7146        | 0.2538 | 25   | 0.7678          |
+| 0.728         | 0.5076 | 50   | 0.7419          |
+| 0.6843        | 0.7614 | 75   | 0.7328          |
+| 0.6819        | 1.0152 | 100  | 0.7259          |
+| 0.6342        | 1.2487 | 125  | 0.7269          |
+| 0.616         | 1.5025 | 150  | 0.7298          |
+| 0.7092        | 1.7563 | 175  | 0.7250          |
+| 0.6453        | 2.0102 | 200  | 0.7224          |
+| 0.5267        | 2.2411 | 225  | 0.7425          |
+| 0.5702        | 2.4949 | 250  | 0.7424          |
+| 0.5459        | 2.7487 | 275  | 0.7421          |
+| 0.6327        | 3.0025 | 300  | 0.7428          |
+| 0.5649        | 3.2335 | 325  | 0.7573          |
+| 0.4318        | 3.4873 | 350  | 0.7617          |
+| 0.5523        | 3.7411 | 375  | 0.7611          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.2
+- Pytorch 2.1.2+cu118
+- Datasets 2.19.1
+- Tokenizers 0.19.1

adapter_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6c9a9bdcf948f6f268d7a14bd0697a518cc1abca7a3bf101fd30eb3657b1a4c8
+size 167934026