logical-reasoning / llm_toolkit

Commit History

no padding
32463b2

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ready for final run
687f68b

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Update logical_reasoning_utils.py
0c7b7f6

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ready for qwen2.5
d5ab5d2

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mistral 5-shot
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counted few-shot prompts for all models
a8683cf

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try 5-shot for open source models
d2150e8

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10-shot results ready for 7/8 B models
3db2ae5

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internlm 20b results
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rtx4090 0-shot
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ready for few shots eval
cf912f1

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claude 0-shot
397a2fa

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o1-mini results
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openai batch
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completed eval/analysis
468b88d

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openai zero-shot results
8b9bb19

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Update eval_logical_reasoning_all_epochs.py
090acf8

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change BATCH_SIZE to 1 for qwen2-72b eval
4c31851

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open source LLM results almost done
5a8f8d2

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Update llm_utils.py
71af822

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tuning mistral cn
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ready for bf16 tuning
e656f92

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ready for QLoRA
b87bc1a

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final rank: 42
7f20241

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gemma2 training complete
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gemma2 results
c41fec1

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fix bug for gemma2
6d673bc

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fixed bug
4a18348

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Create tune_logical_reasoning.py
3e74e95

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r3 results/checkpoints
7e3048e

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llama3 en result analyzed
f32ad3e

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Update llm_utils.py
1c6f4f0

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test_b resultls
7670f2e

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llama3 en
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nv4090 results
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updated best results
4d1916b

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internlm2 best results
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clean up
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l40 results with correct template: intern2
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Update llm_utils.py
2847edc

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try float32 for inference
d772d9d

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best eval LF
0b5e165

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glm-4 base p1 result
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improved eval_model()
6bdefef

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M3 results
47b70ed

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eval glm-4 base model
26227a0

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add env vars: MAX_NEW_TOKENS & REPETITION_PENALTY
f754508

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Update llm_utils.py
51d9a2e

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eval merged model with NV4080
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eval with merged model
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