qwen2-72b 4bit fine-tuned rpp tuned results

logs/l40-4gpu-7.txt

@@ -193,4 +193,19 @@ Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.06 metrics: {'meteor': 0.4679863677
 Batch output: ['Old Geng raised his gun and squinted down the barrel with one of his triangular eyes. The sound of the shot was followed by a shower of golden sparrows tumbling from the sky; bits of metal flew through the air, striking the branches with a rustling sound.']
 Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.08 metrics: {'meteor': 0.4611617265650338, 'sacrebleu': {'score': 17.159687878722096, 'counts': [14274, 6231, 3334, 1904], 'totals': [28158, 27025, 25892, 24763], 'precisions': [50.692520775623265, 23.056429232192414, 12.876564189711107, 7.688890683681299], 'bp': 0.9303781001016779, 'sys_len': 28158, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.171596878787221, 'precisions': [0.5069252077562327, 0.23056429232192416, 0.12876564189711107, 0.07688890683681299], 'brevity_penalty': 0.9303781001016781, 'length_ratio': 0.9326929446836701, 'translation_length': 28158, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4936265371646522, 'rouge2': 0.24852046833439134, 'rougeL': 0.43365063941361814, 'rougeLsum': 0.43332129783380857}, 'accuracy': 0.01059135039717564, 'correct_ids': [41, 133, 147, 193, 199, 348, 364, 413, 658, 712, 778, 1011]}
 *** Evaluating with repetition_penalty: 1.1
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+Batch output: ['Old Geng raised his gun and squinted down its barrel with one of his triangular eyes. He pulled the trigger, sending a hail of golden sparrows tumbling to the ground. Bits of shot ricocheted off the branches in a shower of sparks.']
+Qwen/Qwen2-72B-Instruct/checkpoint-560/rpp-1.10 metrics: {'meteor': 0.4548099407498399, 'sacrebleu': {'score': 16.460748190345598, 'counts': [14013, 5996, 3175, 1792], 'totals': [28251, 27118, 25985, 24856], 'precisions': [49.60178400764575, 22.11077513090936, 12.21858764671926, 7.209526874798842], 'bp': 0.9336676505621438, 'sys_len': 28251, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.164607481903456, 'precisions': [0.4960178400764575, 0.2211077513090936, 0.12218587646719262, 0.07209526874798841], 'brevity_penalty': 0.9336676505621438, 'length_ratio': 0.9357734349122225, 'translation_length': 28251, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4869098777897676, 'rouge2': 0.24052179784914396, 'rougeL': 0.4260759131584304, 'rougeLsum': 0.425692507223435}, 'accuracy': 0.009708737864077669, 'correct_ids': [41, 133, 147, 193, 199, 348, 364, 413, 658, 712, 1011]}
+(3) GPU = NVIDIA L40. Max memory = 44.309 GB.
+16.176 GB of memory reserved.
+Job ID: 77985
+Cluster: crimson
+User/Group: dh.huang.2023/dh.huang.2023
+State: COMPLETED (exit code 0)
+Nodes: 1
+Cores per node: 10
+CPU Utilized: 1-05:58:58
+CPU Efficiency: 9.95% of 12-13:24:20 core-walltime
+Job Wall-clock time: 1-06:08:26
+Memory Utilized: 6.57 GB
+Memory Efficiency: 1.64% of 400.00 GB

results/mac-results_fine_tuned.csv

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 9764528
+oid sha256:1343c6af58f7b46ef889b971181eee70e6be6a2ca77e3e30d8d4d51e1484eec4
+size 9903878