| #! /bin/bash |
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| SEED=42 |
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| |
| BASE_PATH=. |
| MODEL_PATH="facebook/opt-1.3b" |
| OUTPUT_DIR="${BASE_PATH}/eval_outputs/${MODEL_PATH}-spandistillm-3570-v2" |
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| mkdir -p ${OUTPUT_DIR} |
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| OPTS="" |
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| OPTS+=" --train_data ${BASE_PATH}/data/dolly/train.jsonl" |
| OPTS+=" --val_data ${BASE_PATH}/data/dolly/dev.jsonl" |
| OPTS+=" --test_data ${BASE_PATH}/data/dolly/valid.jsonl" |
| OPTS+=" --teacher_layers_mapping 32" |
| OPTS+=" --student_encoder_layers_finetuned 22" |
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| |
| OPTS+=" --val_batch_size 64" |
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| |
| OPTS+=" --student_device cuda:1" |
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| |
| OPTS+=" --output_dir ${OUTPUT_DIR}" |
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| |
| OPTS+=" --seed ${SEED}" |
| OPTS+=" --model_path ${MODEL_PATH}" |
| OPTS+=" --lora_path distillm-master/results/opt/train/spandistillm_1.3B_6.7B-v2/3570" |
| OPTS+=" --tokenizer facebook/opt-350m" |
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| |
| python src/run_eval.py ${OPTS} >> ${OUTPUT_DIR}/eval.log 2>&1 |
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