adapter_role string | base_model string | parameter_cap int64 | total_parameters_with_adapter int64 | trainable_parameters int64 | lora_targets list | system_prompt string | mapping dict | split_protocol string | training_targets string | max_steps_planned int64 | max_steps_completed int64 | elapsed_hours float64 | eval_metrics dict | evaluation_protocol string | run_sizing dict | config dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
source_translation | unsloth/gemma-2-2b-it | 3,000,000,000 | 2,655,875,328 | 41,533,440 | [
"q_proj",
"k_proj",
"v_proj",
"o_proj",
"gate_proj",
"up_proj",
"down_proj"
] | Translate the supplied English doctor answer into natural Bengali. Preserve every medical fact, medicine, test, dosage, uncertainty, warning, and sentence order. Match the Bengali style used by Nascenia training responses. Do not diagnose independently and do not add information absent from the English source answer. R... | {
"rows": 112165,
"external_rows": 112156,
"competition_train_rows": 108954,
"competition_test_rows": 1000,
"mapped_train_rows": 108945,
"mapped_test_rows": 1000,
"missing_test_ids": [],
"source_gap_ids": [
219,
16222,
19056,
27951,
66346,
81014,
84575,
90042,
105487
... | English-source-answer grouped holdout | Competition bn_response only; zero synthetic targets | 2,066 | 2,066 | 9.725501 | {
"eval_loss": 0.18040531873703003,
"eval_runtime": 2011.6946,
"eval_samples_per_second": 2.716,
"eval_steps_per_second": 1.358,
"epoch": 0.3263629721777936
} | No periodic evaluation; one final loss evaluation | {
"seconds_per_step": 16.46638858318329,
"full_epoch_steps": 6331,
"budget_steps": 2066,
"selected_max_steps": 2066,
"examples_seen": 33056,
"epoch_fraction": 0.32633075343547624
} | {
"base_model": "unsloth/gemma-2-2b-it",
"adapter_name": "gemma2_source_translation_lora",
"adapter_role": "source_translation",
"parameter_cap": 3000000000,
"seed": 42,
"max_seq_length": 1024,
"max_prompt_tokens": 480,
"load_in_4bit": false,
"per_device_batch_size": 2,
"gradient_accumulation_steps"... |
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