ToastyPigeon
/

qwen-rp-test-h-qlora

@@ -1,202 +1,218 @@
 ---
-base_model: arcee-ai/Virtuoso-Small
 library_name: peft
 ---
-# Model Card for Model ID
-<!-- Provide a quick summary of what the model is/does. -->
-## Model Details
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 ### Framework versions
-- PEFT 0.14.0

 ---
 library_name: peft
+license: apache-2.0
+base_model: arcee-ai/Virtuoso-Small
+tags:
+- axolotl
+- generated_from_trainer
+datasets:
+- ToastyPigeon/some-rp
+model-index:
+- name: qwen-rp-test-h-qlora
+  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: `0.6.0`
+```yaml
+# git clone https://github.com/axolotl-ai-cloud/axolotl
+# cd axolotl
+# git checkout 844331005c1ef45430ff26b9f42f757dce6ee66a
+# pip3 install packaging ninja huggingface_hub[cli]
+# pip3 install -e '.[flash-attn,deepspeed]'
+# huggingface-cli login --token $hf_key && wandb login $wandb_key
+# python -m axolotl.cli.preprocess nemo-rp-test-human.yml
+# accelerate launch -m axolotl.cli.train qwen-rp-test-human.yml
+# python -m axolotl.cli.merge_lora nemo-rp-test-human.yml
+# huggingface-cli upload Columbidae/nemo-rp-test-human train-workspace/merged . --exclude "*.md"
+# sleep 10h; runpodctl stop pod $RUNPOD_POD_ID &
+# git clone https://github.com/axolotl-ai-cloud/axolotl && cd axolotl && pip3 install packaging ninja huggingface_hub[cli] && pip3 install -e '.[flash-attn,deepspeed]' && cd ..
+# Model
+base_model: arcee-ai/Virtuoso-Small
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+load_in_8bit: false
+load_in_4bit: true
+strict: false
+bf16: true
+fp16:
+tf32: false
+flash_attention: true
+special_tokens:
+# Output
+output_dir: ./train-workspace
+hub_model_id: ToastyPigeon/qwen-rp-test-h-qlora
+hub_strategy: "checkpoint"
+auto_resume_from_checkpoint: true
+#resume_from_checkpoint: ./train-workspace/checkpoint-304
+saves_per_epoch: 10
+save_total_limit: 3
+# Data
+sequence_len: 8192 # fits
+min_sample_len: 128
+chat_template: chatml
+dataset_prepared_path: last_run_prepared
+datasets:
+  - path: ToastyPigeon/some-rp
+    type: chat_template
+    field_messages: conversations
+    message_field_role: from
+    message_field_content: value
+warmup_steps: 20
+shuffle_merged_datasets: true
+sample_packing: true
+pad_to_sequence_len: true
+# Batching
+num_epochs: 1
+gradient_accumulation_steps: 1
+micro_batch_size: 1
+eval_batch_size: 1
+# Evaluation
+val_set_size: 80
+evals_per_epoch: 10
+eval_table_size:
+eval_max_new_tokens: 256
+eval_sample_packing: false
+save_safetensors: true
+# WandB
+wandb_project: Qwen-Rp-Test
+#wandb_entity:
+gradient_checkpointing: 'unsloth'
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+unsloth_cross_entropy_loss: true
+#unsloth_lora_mlp: true
+#unsloth_lora_qkv: true
+#unsloth_lora_o: true
+# LoRA
+adapter: qlora
+lora_r: 64
+lora_alpha: 128
+lora_dropout: 0.125
+lora_target_linear: true
+lora_target_modules:
+  - gate_proj
+  - down_proj
+  - up_proj
+  - q_proj
+  - v_proj
+  - k_proj
+  - o_proj
+lora_modules_to_save:
+#peft_use_rslora: true
+#loraplus_lr_ratio: 8
+# Optimizer
+optimizer: paged_ademamix_8bit
+lr_scheduler: cosine
+learning_rate: 1e-4
+cosine_min_lr_ratio: 0.1
+weight_decay: 0.1
+max_grad_norm: 1.0
+# Misc
+train_on_inputs: false
+group_by_length: false
+early_stopping_patience:
+local_rank:
+logging_steps: 1
+xformers_attention:
+debug:
+deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16.json # previously blank
+fsdp:
+fsdp_config:
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+liger_rope: true
+liger_rms_norm: true
+liger_layer_norm: true
+liger_glu_activation: true
+liger_fused_linear_cross_entropy: true
+gc_steps: 10
+# Debug config
+debug: true
+seed: 69
+```
+</details><br>
+# qwen-rp-test-h-qlora
+This model is a fine-tuned version of [arcee-ai/Virtuoso-Small](https://huggingface.co/arcee-ai/Virtuoso-Small) on the ToastyPigeon/some-rp dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.3971
+## 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: 0.0001
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 69
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 8
+- total_eval_batch_size: 8
+- optimizer: Use OptimizerNames.PAGED_ADEMAMIX_8BIT and the args are:
+No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 20
+- num_epochs: 1
+### Training results
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.4903        | 0.0026 | 1    | 2.5546          |
+| 2.2882        | 0.1016 | 39   | 2.4302          |
+| 2.3752        | 0.2031 | 78   | 2.4171          |
+| 2.3249        | 0.3047 | 117  | 2.4119          |
+| 2.2504        | 0.4062 | 156  | 2.4081          |
+| 2.3905        | 0.5078 | 195  | 2.4030          |
+| 2.3354        | 0.6094 | 234  | 2.4018          |
+| 2.5473        | 0.7109 | 273  | 2.3996          |
+| 2.4123        | 0.8125 | 312  | 2.3982          |
+| 2.2878        | 0.9141 | 351  | 2.3971          |
 ### Framework versions
+- PEFT 0.14.0
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.21.0