Dataset Viewer
results
dict | group_subtasks
dict | configs
dict | versions
dict | n-shot
dict | higher_is_better
dict | n-samples
dict | config
dict | git_hash
stringclasses 1
value | date
float64 1.73B
1.73B
| pretty_env_info
stringclasses 1
value | transformers_version
stringclasses 1
value | upper_git_hash
null | tokenizer_pad_token
sequencelengths 2
2
| tokenizer_eos_token
sequencelengths 2
2
| tokenizer_bos_token
sequencelengths 2
2
| eot_token_id
int64 128k
128k
| max_length
int64 131k
131k
| task_hashes
dict | model_source
stringclasses 1
value | model_name
stringclasses 1
value | model_name_sanitized
stringclasses 1
value | hf_log_model_name
null | system_instruction
null | system_instruction_sha
null | fewshot_as_multiturn
bool 1
class | chat_template
null | chat_template_sha
null | start_time
float64 759k
767k
| end_time
float64 764k
768k
| total_evaluation_time_seconds
stringclasses 2
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
{
"gsm8k": {
"alias": "gsm8k",
"exact_match,strict-match": 0,
"exact_match_stderr,strict-match": 0,
"exact_match,flexible-extract": 0.12351130737321023,
"exact_match_stderr,flexible-extract": 0.003806344450172962
}
}
|
{
"gsm8k": []
}
|
{
"gsm8k": {
"task": "gsm8k",
"tag": [
"math_word_problems"
],
"dataset_path": "gsm8k",
"dataset_name": "main",
"training_split": "train",
"test_split": "train",
"fewshot_split": "train",
"doc_to_text": "Question: {{question}}\nAnswer:",
"doc_to_target": "{{answer}}",
"description": "",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"num_fewshot": 0,
"metric_list": [
{
"metric": "exact_match",
"aggregation": "mean",
"higher_is_better": true,
"ignore_case": true,
"ignore_punctuation": false,
"regexes_to_ignore": [
",",
"\\$",
"(?s).*#### ",
"\\.$"
]
}
],
"output_type": "generate_until",
"generation_kwargs": {
"until": [
"Question:",
"</s>",
"<|im_end|>"
],
"do_sample": false,
"temperature": 0,
"top_p": 1
},
"repeats": 1,
"filter_list": [
{
"name": "strict-match",
"filter": [
{
"function": "regex",
"regex_pattern": "#### (\\-?[0-9\\.\\,]+)",
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},
{
"function": "take_first",
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"group_select": null
}
]
},
{
"name": "flexible-extract",
"filter": [
{
"function": "regex",
"regex_pattern": "(-?[$0-9.,]{2,})|(-?[0-9]+)",
"group_select": -1
},
{
"function": "take_first",
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"group_select": null
}
]
}
],
"should_decontaminate": false,
"metadata": {
"version": 3
}
}
}
|
{
"gsm8k": 3
}
|
{
"gsm8k": 0
}
|
{
"gsm8k": {
"exact_match": true
}
}
|
{
"gsm8k": {
"original": 7473,
"effective": 7473
}
}
|
{
"model": "hf",
"model_args": "pretrained=meta-llama/Llama-3.2-3B,dtype=float16",
"model_num_parameters": 3212749824,
"model_dtype": "torch.float16",
"model_revision": "main",
"model_sha": "13afe5124825b4f3751f836b40dafda64c1ed062",
"batch_size": "auto",
"batch_sizes": [],
"device": null,
"use_cache": null,
"limit": null,
"bootstrap_iters": 100000,
"gen_kwargs": null,
"random_seed": 0,
"numpy_seed": 1234,
"torch_seed": 1234,
"fewshot_seed": 1234
}
|
0b99443
| 1,734,103,215.14859 |
PyTorch version: 2.5.1+cu124
Is debug build: False
CUDA used to build PyTorch: 12.4
ROCM used to build PyTorch: N/A
OS: Ubuntu 22.04.3 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.35
Python version: 3.10.11 (main, Apr 17 2023, 17:57:03) [GCC 7.5.0] (64-bit runtime)
Python platform: Linux-5.15.0-101-generic-x86_64-with-glibc2.35
Is CUDA available: True
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration:
GPU 0: NVIDIA H100 80GB HBM3
GPU 1: NVIDIA H100 80GB HBM3
GPU 2: NVIDIA H100 80GB HBM3
GPU 3: NVIDIA H100 80GB HBM3
Nvidia driver version: 560.35.03
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
CPU:
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 52 bits physical, 57 bits virtual
Byte Order: Little Endian
CPU(s): 192
On-line CPU(s) list: 0-191
Vendor ID: AuthenticAMD
Model name: AMD EPYC 9654 96-Core Processor
CPU family: 25
Model: 17
Thread(s) per core: 1
Core(s) per socket: 96
Socket(s): 2
Stepping: 1
Frequency boost: enabled
CPU max MHz: 3707.8120
CPU min MHz: 1500.0000
BogoMIPS: 4799.99
Flags: 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 rapl pni pclmulqdq monitor ssse3 fma cx16 pcid 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 invpcid_single hw_pstate ssbd mba ibrs ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local avx512_bf16 clzero irperf xsaveerptr rdpru wbnoinvd amd_ppin cppc arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif v_spec_ctrl avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq la57 rdpid overflow_recov succor smca fsrm flush_l1d
Virtualization: AMD-V
L1d cache: 6 MiB (192 instances)
L1i cache: 6 MiB (192 instances)
L2 cache: 192 MiB (192 instances)
L3 cache: 768 MiB (24 instances)
NUMA node(s): 2
NUMA node0 CPU(s): 0-95
NUMA node1 CPU(s): 96-191
Vulnerability Gather data sampling: Not affected
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Not affected
Vulnerability Retbleed: Not affected
Vulnerability Spec rstack overflow: Mitigation; safe RET
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Retpolines, IBPB conditional, IBRS_FW, STIBP disabled, RSB filling, PBRSB-eIBRS Not affected
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
Versions of relevant libraries:
[pip3] numpy==2.2.0
[pip3] torch==2.5.1
[pip3] triton==3.1.0
[conda] Could not collect
|
4.47.0
| null |
[
"<|end_of_text|>",
"128001"
] |
[
"<|end_of_text|>",
"128001"
] |
[
"<|begin_of_text|>",
"128000"
] | 128,001 | 131,072 |
{
"gsm8k": "7acf08a400c7a97fa29fef2256877679b4ae6b1e0bd5343713ce97aa9046c469"
}
|
hf
|
meta-llama/Llama-3.2-3B
|
meta-llama__Llama-3.2-3B
| null | null | null | false | null | null | 759,340.222666 | 764,433.054194 |
5092.831527994014
|
{
"gsm8k": {
"alias": "gsm8k",
"exact_match,strict-match": 0,
"exact_match_stderr,strict-match": 0,
"exact_match,flexible-extract": 0.10841546626231995,
"exact_match_stderr,flexible-extract": 0.008563852506627495
}
}
|
{
"gsm8k": []
}
|
{
"gsm8k": {
"task": "gsm8k",
"tag": [
"math_word_problems"
],
"dataset_path": "gsm8k",
"dataset_name": "main",
"training_split": "train",
"test_split": "test",
"fewshot_split": "train",
"doc_to_text": "Question: {{question}}\nAnswer:",
"doc_to_target": "{{answer}}",
"description": "",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"num_fewshot": 0,
"metric_list": [
{
"metric": "exact_match",
"aggregation": "mean",
"higher_is_better": true,
"ignore_case": true,
"ignore_punctuation": false,
"regexes_to_ignore": [
",",
"\\$",
"(?s).*#### ",
"\\.$"
]
}
],
"output_type": "generate_until",
"generation_kwargs": {
"until": [
"Question:",
"</s>",
"<|im_end|>"
],
"do_sample": false,
"temperature": 0,
"top_p": 1
},
"repeats": 1,
"filter_list": [
{
"name": "strict-match",
"filter": [
{
"function": "regex",
"regex_pattern": "#### (\\-?[0-9\\.\\,]+)",
"group_select": null
},
{
"function": "take_first",
"regex_pattern": null,
"group_select": null
}
]
},
{
"name": "flexible-extract",
"filter": [
{
"function": "regex",
"regex_pattern": "(-?[$0-9.,]{2,})|(-?[0-9]+)",
"group_select": -1
},
{
"function": "take_first",
"regex_pattern": null,
"group_select": null
}
]
}
],
"should_decontaminate": false,
"metadata": {
"version": 3
}
}
}
|
{
"gsm8k": 3
}
|
{
"gsm8k": 0
}
|
{
"gsm8k": {
"exact_match": true
}
}
|
{
"gsm8k": {
"original": 1319,
"effective": 1319
}
}
|
{
"model": "hf",
"model_args": "pretrained=meta-llama/Llama-3.2-3B,dtype=float16",
"model_num_parameters": 3212749824,
"model_dtype": "torch.float16",
"model_revision": "main",
"model_sha": "13afe5124825b4f3751f836b40dafda64c1ed062",
"batch_size": "1",
"batch_sizes": [],
"device": null,
"use_cache": null,
"limit": null,
"bootstrap_iters": 100000,
"gen_kwargs": null,
"random_seed": 0,
"numpy_seed": 1234,
"torch_seed": 1234,
"fewshot_seed": 1234
}
|
0b99443
| 1,734,110,658.501217 |
PyTorch version: 2.5.1+cu124
Is debug build: False
CUDA used to build PyTorch: 12.4
ROCM used to build PyTorch: N/A
OS: Ubuntu 22.04.3 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.35
Python version: 3.10.11 (main, Apr 17 2023, 17:57:03) [GCC 7.5.0] (64-bit runtime)
Python platform: Linux-5.15.0-101-generic-x86_64-with-glibc2.35
Is CUDA available: True
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration:
GPU 0: NVIDIA H100 80GB HBM3
GPU 1: NVIDIA H100 80GB HBM3
GPU 2: NVIDIA H100 80GB HBM3
GPU 3: NVIDIA H100 80GB HBM3
Nvidia driver version: 560.35.03
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
CPU:
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 52 bits physical, 57 bits virtual
Byte Order: Little Endian
CPU(s): 192
On-line CPU(s) list: 0-191
Vendor ID: AuthenticAMD
Model name: AMD EPYC 9654 96-Core Processor
CPU family: 25
Model: 17
Thread(s) per core: 1
Core(s) per socket: 96
Socket(s): 2
Stepping: 1
Frequency boost: enabled
CPU max MHz: 3707.8120
CPU min MHz: 1500.0000
BogoMIPS: 4799.99
Flags: 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 rapl pni pclmulqdq monitor ssse3 fma cx16 pcid 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 invpcid_single hw_pstate ssbd mba ibrs ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local avx512_bf16 clzero irperf xsaveerptr rdpru wbnoinvd amd_ppin cppc arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif v_spec_ctrl avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq la57 rdpid overflow_recov succor smca fsrm flush_l1d
Virtualization: AMD-V
L1d cache: 6 MiB (192 instances)
L1i cache: 6 MiB (192 instances)
L2 cache: 192 MiB (192 instances)
L3 cache: 768 MiB (24 instances)
NUMA node(s): 2
NUMA node0 CPU(s): 0-95
NUMA node1 CPU(s): 96-191
Vulnerability Gather data sampling: Not affected
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Not affected
Vulnerability Retbleed: Not affected
Vulnerability Spec rstack overflow: Mitigation; safe RET
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Retpolines, IBPB conditional, IBRS_FW, STIBP disabled, RSB filling, PBRSB-eIBRS Not affected
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
Versions of relevant libraries:
[pip3] numpy==2.2.0
[pip3] torch==2.5.1
[pip3] triton==3.1.0
[conda] Could not collect
|
4.47.0
| null |
[
"<|end_of_text|>",
"128001"
] |
[
"<|end_of_text|>",
"128001"
] |
[
"<|begin_of_text|>",
"128000"
] | 128,001 | 131,072 |
{
"gsm8k": "84d59512bae5be7ab7a8aa6ee025db3460ce8947c48d851de0474f8f29fc2668"
}
|
hf
|
meta-llama/Llama-3.2-3B
|
meta-llama__Llama-3.2-3B
| null | null | null | false | null | null | 766,781.339171 | 767,712.27869 |
930.9395187930204
|
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