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Model: laion/Sera-4.5A-Full-T1-v3-316-axolotl__Qwen3-8B Source: Original Platform
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README.md
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---
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library_name: transformers
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base_model: Qwen/Qwen3-8B
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tags:
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- generated_from_trainer
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datasets:
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- laion/Sera-4.5A-Full-T1-v3-316
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model-index:
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- name: e/data1/datasets/playground/ot-baf/checkpoints/sera-v3-316-axolotl__Qwen3-8B
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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[<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)
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<details><summary>See axolotl config</summary>
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axolotl version: `0.16.0.dev0`
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```yaml
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# Mirror of SERA's axolotl_qwen3_8b.yaml, parameterized for Jupiter SFT on v3 data.
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# Filled at render time via sed-substitution of 316.
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base_model: Qwen/Qwen3-8B
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deepspeed: /e/scratch/jureap59/feuer1/code/axolotl/deepspeed_configs/zero3_bf16.json
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load_in_8bit: false
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load_in_4bit: false
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# plugins disabled 2026-04-22: CCE + bf16 + flash-attn on aarch64/torch2.9 caused
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# gradient explosion (grad_norm 9.8e+11) and loss -> 0 within first 3-7 steps.
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# plugins:
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# - axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
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chat_template: chatml
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datasets:
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- path: laion/Sera-4.5A-Full-T1-v3-316
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data_files:
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- sera-4.5a-full-t1_v3_316.jsonl
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type: chat_template
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field_messages: messages
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ds_type: json
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message_field_training: train
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dataset_prepared_path: /e/data1/datasets/playground/ot-baf/axolotl_dataset_cache/sera-v3-316
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output_dir: /e/data1/datasets/playground/ot-baf/checkpoints/sera-v3-316-axolotl__Qwen3-8B
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sequence_len: 32768
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wandb_project:
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wandb_entity:
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wandb_watch:
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wandb_name: sera-v3-316-axolotl__Qwen3-8B
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wandb_log_model:
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gradient_accumulation_steps: 8
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micro_batch_size: 1
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num_epochs: 3
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optimizer: adamw_torch
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lr_scheduler: cosine
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learning_rate: 1e-5
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adam_beta1: 0.9
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adam_beta2: 0.95
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bf16: auto
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tf32: false
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gradient_checkpointing: true
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activation_offloading: true
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resume_from_checkpoint:
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logging_steps: 1
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flash_attention: true
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loss_watchdog_threshold: 5.0
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loss_watchdog_patience: 3
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warmup_ratio: 0.1875
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evals_per_epoch: 0
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save_strategy: epoch
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weight_decay: 0.01
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max_grad_norm: 1.0
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special_tokens:
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```
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</details><br>
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# e/data1/datasets/playground/ot-baf/checkpoints/sera-v3-316-axolotl__Qwen3-8B
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This model is a fine-tuned version of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) on the laion/Sera-4.5A-Full-T1-v3-316 dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 32
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- total_eval_batch_size: 4
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 2
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- training_steps: 10
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### Training results
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### Framework versions
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- Transformers 5.5.0
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- Pytorch 2.9.1+cu130
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- Datasets 4.5.0
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- Tokenizers 0.22.2
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chat_template.jinja
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{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '
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' + message['content'] + '<|im_end|>' + '
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'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
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' }}{% endif %}
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config.json
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config.json
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{
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"architectures": [
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"Qwen3ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"dtype": "bfloat16",
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"eos_token_id": 151645,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 12288,
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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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],
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"max_position_embeddings": 40960,
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"max_window_layers": 36,
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"model_type": "qwen3",
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"num_attention_heads": 32,
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"num_hidden_layers": 36,
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"num_key_value_heads": 8,
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"pad_token_id": 151643,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"rope_theta": 1000000,
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"rope_type": "default"
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},
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"sliding_window": null,
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"tie_word_embeddings": false,
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"transformers_version": "5.5.0",
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"use_cache": false,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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generation_config.json
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"temperature": 0.6,
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"top_k": 20,
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"top_p": 0.95,
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"transformers_version": "5.5.0"
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}
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model.safetensors
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tokenizer_config.json
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}
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