| name: flatbot-mini-35M |
|
|
| description: > |
| Optimized 35M parameter conversational assistant. |
| 12 layers, 512 hidden, 12 heads (4 KV). |
| Based on demo-chat training recipe that achieved 0.04 loss on 4M model. |
| |
| output_dir: outputs |
|
|
| dataset: |
| format: jsonl |
| path: dataset.jsonl |
| field_mapping: {} |
| train_split: 0.95 |
| val_split: 0.05 |
| test_split: 0.0 |
| max_samples: 10000 |
| max_length: 384 |
| seed: 42 |
| sample_type: conversation |
|
|
| tokenizer: |
| source: train |
| vocab_size: 1024 |
| min_frequency: 2 |
| added_tokens: [] |
|
|
| chat_template: |
| system: You are Flatbot, a friendly conversational assistant. If you do not know something, say "I don't know" or "I'm not sure" — do not make things up. Be clear, helpful, and concise. |
| user_prefix: "\n\n<|user|>\n" |
| assistant_prefix: "\n\n<|assistant|>\n" |
| end_of_turn: "<|endoftext|>" |
| separator: "" |
|
|
| model: |
| vocab_size: 1024 |
| n_layers: 12 |
| n_heads: 16 |
| n_kv_heads: 4 |
| hidden_dim: 512 |
| ffn_dim: 1408 |
| context_length: 512 |
| rope_theta: 10000.0 |
| norm: rmsnorm |
| activation: swiglu |
| tie_embeddings: true |
| attention_dropout: 0.0 |
| residual_dropout: 0.0 |
| embedding_dropout: 0.0 |
| initializer_range: 0.02 |
|
|
| optimizer: |
| type: adamw |
| lr: 1.0e-3 |
| betas: [0.9, 0.99] |
| eps: 1.0e-8 |
| weight_decay: 0.0 |
|
|
| scheduler: |
| type: cosine |
| warmup_steps: 50 |
| min_lr_ratio: 0.05 |
|
|
| trainer: |
| epochs: 10 |
| batch_size: 16 |
| gradient_accumulation: 2 |
| max_steps: null |
| precision: fp32 |
| gradient_checkpointing: false |
| seed: 42 |
| eval_every_n_steps: 50 |
| log_every_n_steps: 10 |
| max_grad_norm: 1.0 |
| early_stopping: |
| enabled: false |
| patience: 5 |
| min_delta: 0.0 |
| monitor: val_loss |
|
|
| checkpoint: |
| every_n_steps: 500 |
| keep_last: 3 |
| save_final: true |
| resume_from: null |
|
|
| export: |
| format: safetensors |
|
|
| generate: |
| prompt: "Hi! What can you do?" |
| max_new_tokens: 128 |
| temperature: 0.7 |
| top_p: 0.9 |
| top_k: 40 |
| do_sample: true |
|
|
