End of training

README.md

@@ -0,0 +1,106 @@
+---
+library_name: transformers
+license: llama3
+base_model: mrcuddle/Dark-Hermes3-Llama3.2-3B
+tags:
+- axolotl
+- generated_from_trainer
+datasets:
+- NousResearch/hermes-function-calling-v1
+model-index:
+- name: Dark-Hermes3-Llama3.2-3B-Func
+  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: `0.8.0.dev0`
+```yaml
+base_model: mrcuddle/Dark-Hermes3-Llama3.2-3B
+hub_model_id: mrcuddle/Dark-Hermes3-Llama3.2-3B-Func
+dataloader_num_workers: 8
+datasets:
+- chat_template: alpaca
+  field_messages: conversations
+  message_property_mappings:
+    content: value
+    role: from
+  path: NousResearch/hermes-function-calling-v1
+  split: train
+  type: chat_template
+eval_steps: 500
+evaluation_strategy: steps
+fp16: true
+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+learning_rate: 2e-5
+logging_dir: /content/outputs/logs
+logging_steps: 50
+lr_scheduler: linear
+lr_scheduler_type: linear
+micro_batch_size: 2
+num_train_epochs: 3
+optimizer: adamw_torch  # Or another optimizer of your choice
+output_dir: /content/outputs
+overwrite_output_dir: true
+per_device_train_batch_size: 8
+save_steps: 500
+save_total_limit: 2
+use_peft: false
+val_set_size: 0.05
+warmup_steps: 100
+unsloth: true  # Enable Unsloth if supported by your training framework
+
+```
+
+</details><br>
+
+# Dark-Hermes3-Llama3.2-3B-Func
+
+This model is a fine-tuned version of [mrcuddle/Dark-Hermes3-Llama3.2-3B](https://huggingface.co/mrcuddle/Dark-Hermes3-Llama3.2-3B) on the NousResearch/hermes-function-calling-v1 dataset.
+
+## 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
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 1.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| No log        | 0.0889 | 1    | 0.3864          |
+
+
+### Framework versions
+
+- Transformers 4.49.0
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

generation_config.json

@@ -0,0 +1,13 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.49.0"
+}