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Model: arcee-ai/MyAlee-Qwen-Instruct-v2-16k-v1
Source: Original Platform

.ipynb_checkpoints/README-checkpoint.md

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+---
+license: apache-2.0
+base_model: Qwen/Qwen2-7B
+tags:
+- generated_from_trainer
+model-index:
+- name: outputs/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: `0.4.1`
+```yaml
+base_model: Qwen/Qwen2-7B
+trust_remote_code: true
+chat_template: chatml
+
+load_in_8bit: false
+# load_in_4bit: true
+strict: false
+
+datasets:
+  - path: arcee-ai/MyAlee-Education-Instructions-V2
+    type: sharegpt
+    field_messages: messages
+  - path: Crystalcareai/Orca-Reka
+    type: alpaca
+
+dataset_prepared_path:
+val_set_size: 0
+output_dir: ./outputs/out
+
+sequence_len: 16384
+sample_packing: true
+eval_sample_packing: false
+pad_to_sequence_len: true
+
+# adapter: qlora
+# lora_model_dir:
+# lora_r: 32
+# lora_alpha: 64
+# lora_dropout: 0.05
+# lora_target_linear: true
+# lora_fan_in_fan_out:
+
+# wandb_project: qwen2-education
+# wandb_entity:
+# wandb_watch:
+# wandb_name:
+# wandb_log_model:
+
+gradient_accumulation_steps: 4
+micro_batch_size: 1
+num_epochs: 5
+optimizer: adamw_torch_fused
+lr_scheduler: cosine
+learning_rate: 1e-5
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: true
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_steps: 10
+evals_per_epoch: 0
+saves_per_epoch: 1
+max_total_saves: 2
+debug:
+deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16.json
+weight_decay: 0.1
+# fsdp:
+#   - full_shard
+#   - auto_wrap
+# fsdp_config:
+#   fsdp_limit_all_gathers: true
+#   fsdp_sync_module_states: true
+#   fsdp_offload_params: true
+#   fsdp_use_orig_params: false
+#   fsdp_cpu_ram_efficient_loading: true
+#   fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
+#   fsdp_transformer_layer_cls_to_wrap: Qwen2DecoderLayer
+#   fsdp_state_dict_type: FULL_STATE_DICT
+special_tokens:
+  pad_token: "<|endoftext|>"
+  eos_token: "<|im_end|>"
+```
+
+</details><br>
+
+# outputs/out
+
+This model is a fine-tuned version of [Qwen/Qwen2-7B](https://huggingface.co/Qwen/Qwen2-7B) on the None 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: 1e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- 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: 10
+- num_epochs: 5
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.1.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1