Uploading folder tiny_LLaMA_1b_8k_cc_merged_v2_8k to hftyzhu/tyzhu/tiny_LLaMA_1b_8k_cc_merged_v2_8kat time 2024-05-18 06:15:31

iter-200000-ckpt-step-25000_hf/config.json

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iter-200000-ckpt-step-25000_hf/eval_arxiv_8k.log

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iter-200000-ckpt-step-25000_hf/eval_book_8k.log

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iter-200000-ckpt-step-25000_hf/eval_cc_8k.log

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iter-200000-ckpt-step-25000_hf/eval_rpwiki_en_8k.log

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iter-200000-ckpt-step-25000_hf/pytorch_model.bin

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iter-200000-ckpt-step-25000_hf/results.json

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+          "aggregation": "mean",
+          "higher_is_better": true
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+  "pretty_env_info": "PyTorch version: 2.1.0+cu121\nIs debug build: False\nCUDA used to build PyTorch: 12.1\nROCM used to build PyTorch: N/A\n\nOS: Ubuntu 20.04.6 LTS (x86_64)\nGCC version: (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0\nClang version: Could not collect\nCMake version: version 3.26.4\nLibc version: glibc-2.31\n\nPython version: 3.8.18 (default, Sep 11 2023, 13:40:15)  [GCC 11.2.0] (64-bit runtime)\nPython platform: Linux-5.4.0-88-generic-x86_64-with-glibc2.17\nIs CUDA available: True\nCUDA runtime version: 11.8.89\nCUDA_MODULE_LOADING set to: LAZY\nGPU models and configuration: GPU 0: NVIDIA A100-SXM4-40GB\nNvidia driver version: 535.129.03\ncuDNN version: Probably one of the following:\n/usr/lib/x86_64-linux-gnu/libcudnn.so.8.9.0\n/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.9.0\n/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.9.0\n/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.9.0\n/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.9.0\n/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.9.0\n/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.9.0\nHIP runtime version: N/A\nMIOpen runtime version: N/A\nIs XNNPACK available: True\n\nCPU:\nArchitecture:                    x86_64\nCPU op-mode(s):                  32-bit, 64-bit\nByte Order:                      Little Endian\nAddress sizes:                   48 bits physical, 48 bits virtual\nCPU(s):                          96\nOn-line CPU(s) list:             0-95\nThread(s) per core:              2\nCore(s) per socket:              24\nSocket(s):                       2\nNUMA node(s):                    8\nVendor ID:                       AuthenticAMD\nCPU family:                      23\nModel:                           49\nModel name:                      AMD EPYC 7352 24-Core Processor\nStepping:                        0\nCPU MHz:                         2888.364\nBogoMIPS:                        4591.49\nVirtualization:                  AMD-V\nL1d cache:                       1.5 MiB\nL1i cache:                       1.5 MiB\nL2 cache:                        24 MiB\nL3 cache:                        256 MiB\nNUMA node0 CPU(s):               0-5,48-53\nNUMA node1 CPU(s):               6-11,54-59\nNUMA node2 CPU(s):               12-17,60-65\nNUMA node3 CPU(s):               18-23,66-71\nNUMA node4 CPU(s):               24-29,72-77\nNUMA node5 CPU(s):               30-35,78-83\nNUMA node6 CPU(s):               36-41,84-89\nNUMA node7 CPU(s):               42-47,90-95\nVulnerability Itlb multihit:     Not affected\nVulnerability L1tf:              Not affected\nVulnerability Mds:               Not affected\nVulnerability Meltdown:          Not affected\nVulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp\nVulnerability Spectre v1:        Mitigation; usercopy/swapgs barriers and __user pointer sanitization\nVulnerability Spectre v2:        Mitigation; Full AMD retpoline, IBPB conditional, IBRS_FW, STIBP conditional, RSB filling\nVulnerability Srbds:             Not affected\nVulnerability Tsx async abort:   Not affected\nFlags:                           fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid aperfmperf pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 hw_pstate ssbd mba ibrs ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 cqm rdt_a rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local clzero irperf xsaveerptr wbnoinvd arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif umip rdpid overflow_recov succor smca\n\nVersions of relevant libraries:\n[pip3] numpy==1.22.4\n[pip3] pytorch-lightning==2.1.3\n[pip3] torch==2.1.0\n[pip3] torchmetrics==1.3.0.post0\n[pip3] triton==2.1.0\n[conda] mkl                       2024.0.0                 pypi_0    pypi\n[conda] mkl-fft                   1.3.1                    pypi_0    pypi\n[conda] mkl-service               2.4.0                    pypi_0    pypi\n[conda] numpy                     1.22.4                   pypi_0    pypi\n[conda] pytorch-lightning         2.1.3                    pypi_0    pypi\n[conda] torch                     2.1.0                    pypi_0    pypi\n[conda] torchmetrics              1.3.0.post0              pypi_0    pypi\n[conda] triton                    2.1.0                    pypi_0    pypi",
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+}