logical-reasoning / llm_toolkit

Commit History

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
bbea107

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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
3a1588f

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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
58a3992

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nv4090 results
dc7abea

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updated best results
4d1916b

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internlm2 best results
be560ea

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clean up
97afc60

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l40 results with correct template: intern2
791bb54

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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
6599eac

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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
c20ebfb

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eval with merged model
5f8e100

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new llama3 base results
4203a9b

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fixed bug for eval-mgtv-llama3_8b.sh
387046f

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switch llama3 version
c81ec3a

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p2 results
5f78339

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h100 results
df3521b

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09_InterLM_finetuning_colab epoch 3 ready
eb52e90

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08a_InternLM_eval_NV4080 complete
a5837c1

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finetuning internlm with P1 prompt
b5506da

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T4 original prompt + bf16: best results
c8f289a

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refined English translations and Chinese prompt
c755e09

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InternLM 2.5 results
5002792

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llama-factory finetuning on Google Colab
36cb2cb

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created english dataset: datasets/mgtv/dev_en.csv
5860b41

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initial code
6d1c39a

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