ToastyPigeon
/

qwen32-rp-ws

@@ -1,202 +1,228 @@
 ---
-base_model: Qwen/Qwen2.5-32B-Instruct
 library_name: peft
 ---
-# Model Card for Model ID
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-## Model Details
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 ### Framework versions
-- PEFT 0.14.0

 ---
 library_name: peft
+license: apache-2.0
+base_model: Qwen/Qwen2.5-32B-Instruct
+tags:
+- axolotl
+- generated_from_trainer
+datasets:
+- ToastyPigeon/fujin-filtered-instruct
+- ToastyPigeon/some-rp-v2-4k
+model-index:
+- name: qwen32-rp-ws
+  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 d425d5d3c3ca7644a9da8ed93c3d03f4be0c4854
+# pip3 install packaging ninja huggingface_hub[cli]
+# pip install "cut-cross-entropy[transformers] @ git+https://github.com/apple/ml-cross-entropy.git"
+# pip3 install -e '.[flash-attn,deepspeed]'
+# apt update && apt install libopenmpi-dev
+# pip install mpi4py
+# huggingface-cli login --token $hf_key && wandb login $wandb_key
+# python -m axolotl.cli.preprocess qwen-32b-rp.yml
+# accelerate launch -m axolotl.cli.train qwen-32b-rp.yml
+# python -m axolotl.cli.merge_lora qwen-32b-story.yml --lora-on-cpu
+# huggingface-cli upload ToastyPigeon/new-ms-rp-test-v0-v3 train-workspace/merged . --exclude "*.md"
+# git clone https://github.com/axolotl-ai-cloud/axolotl && cd axolotl && git checkout d8b4027200de0fe60f4ae0a71272c1a8cb2888f7 && pip3 install packaging ninja huggingface_hub[cli,hf_transfer] && pip3 install -e '.[flash-attn,deepspeed]' && cd .. && huggingface-cli login --token $hf_key && wandb login $wandb_key
+# Model
+base_model: Qwen/Qwen2.5-32B-Instruct
+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/qwen32-rp-ws
+hub_strategy: "checkpoint"
+resume_from_checkpoint:
+saves_per_epoch: 4
+# Data
+sequence_len: 4096 # fits
+min_sample_len: 128
+dataset_prepared_path: last_run_prepared
+datasets:
+  - path: ToastyPigeon/fujin-filtered-instruct
+    type: chat_template
+    chat_template: chatml
+    field_messages: conversations
+    message_field_role: from
+    message_field_content: value
+    split: train[:500]
+  - path: ToastyPigeon/some-rp-v2-4k
+    type: chat_template
+    chat_template: chatml
+    field_messages: conversations
+    message_field_role: from
+    message_field_content: value
+    split: train[:1000]
+warmup_ratio: 0.05
+shuffle_merged_datasets: true
+sample_packing: true
+#pad_to_sequence_len: true
+# Batching
+num_epochs: 1
+gradient_accumulation_steps: 4
+micro_batch_size: 1
+eval_batch_size: 1
+# Evaluation
+val_set_size: 100
+evals_per_epoch: 10
+eval_table_size:
+eval_max_new_tokens: 256
+eval_sample_packing: true
+save_safetensors: true
+# WandB
+wandb_project: Qwen-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_model_dir:
+lora_r: 16
+lora_alpha: 32
+lora_dropout: 0.5
+lora_target_linear:
+lora_fan_in_fan_out:
+lora_target_modules:
+  - gate_proj
+  - down_proj
+  - up_proj
+  - q_proj
+  - v_proj
+  - k_proj
+  - o_proj
+lora_modules_to_save:
+#peft_layers_to_transform: [35,36,37,38,39]
+# Optimizer
+optimizer: paged_ademamix_8bit # adamw_8bit
+lr_scheduler: cosine
+learning_rate: 5e-5
+cosine_min_lr_ratio: 0.5
+weight_decay: 0.01
+max_grad_norm: 1.0
+# Misc
+train_on_inputs: false
+#group_by_length: true
+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
+#  - axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
+#cut_cross_entropy: true
+liger_rope: true
+liger_rms_norm: true
+liger_layer_norm: true
+liger_glu_activation: true
+liger_fused_linear_cross_entropy: true
+gc_steps: 10
+seed: 69
+```
+</details><br>
+# qwen32-rp-ws
+This model is a fine-tuned version of [Qwen/Qwen2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct) on the ToastyPigeon/fujin-filtered-instruct and the ToastyPigeon/some-rp-v2-4k datasets.
+It achieves the following results on the evaluation set:
+- Loss: 2.3669
+## 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: 5e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 69
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- total_eval_batch_size: 2
+- optimizer: Use OptimizerNames.PAGED_ADEMAMIX_8BIT and the args are:
+No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 6
+- num_epochs: 1
+### Training results
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.7161        | 0.0075 | 1    | 2.5700          |
+| 2.5245        | 0.1057 | 14   | 2.4011          |
+| 2.4595        | 0.2113 | 28   | 2.3840          |
+| 2.2935        | 0.3170 | 42   | 2.3784          |
+| 2.4266        | 0.4226 | 56   | 2.3750          |
+| 2.3834        | 0.5283 | 70   | 2.3725          |
+| 2.5289        | 0.6340 | 84   | 2.3709          |
+| 2.3804        | 0.7396 | 98   | 2.3695          |
+| 2.3634        | 0.8453 | 112  | 2.3681          |
+| 2.5022        | 0.9509 | 126  | 2.3669          |
 ### Framework versions
+- PEFT 0.14.0
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0