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Runs
198
Name
4 visualized
pretrain_on_3pandas_corpora: Apr 28, 12:14:25
pretrain_on_3pandas_corpora: Apr 28, 12:14:25
VicIns_LoRA_CL_Python_fixed: Apr 28, 10:09:45
VicIns_LoRA_CL_Python_fixed: Apr 28, 10:09:45
Upd_dataset_without_pandas: Apr 28, 00:44:30
Upd_dataset_without_pandas: Apr 28, 00:44:30
Upd_dataset_on_2000_pandas: Apr 28, 00:30:56
Upd_dataset_on_2000_pandas: Apr 28, 00:30:56
Upd_dataset_on_2000_pandas: Apr 27, 22:04:29
Upd_dataset_on_2000_pandas: Apr 27, 22:04:29
Upd_dataset_on_2000_pandas: Apr 27, 20:42:26
Upd_dataset_on_2000_pandas: Apr 27, 20:42:26
VicIns_LoRA_CL_Python_fixed: Apr 27, 20:40:27
VicIns_LoRA_CL_Python_fixed: Apr 27, 20:40:27
pretrain_on_pandas: Apr 27, 15:41:06
pretrain_on_pandas: Apr 27, 15:41:06
pretrain_on_pandas: Apr 27, 15:31:07
pretrain_on_pandas: Apr 27, 15:31:07
LoRA_CL7B_Instruct: Apr 22, 11:30:44
LoRA_CL7B_Instruct: Apr 22, 11:30:44
VicIns_LoRA_CL_Python_fixed: Apr 22, 11:28:41
VicIns_LoRA_CL_Python_fixed: Apr 22, 11:28:41
VicIns_LoRA_CL_Python_fixed: Apr 21, 20:48:40
VicIns_LoRA_CL_Python_fixed: Apr 21, 20:48:40
VicIns_LoRA_CL_Python_fixed: Apr 21, 16:56:59
VicIns_LoRA_CL_Python_fixed: Apr 21, 16:56:59
VicIns_LoRA_CL_Python_fixed: Apr 21, 15:03:45
VicIns_LoRA_CL_Python_fixed: Apr 21, 15:03:45
Debug_LoRA_CL_Python: Mar 25, 08:37:08
Debug_LoRA_CL_Python: Mar 25, 08:37:08
VicIns_LoRA_CL_Python_fixed: Mar 22, 14:58:01
VicIns_LoRA_CL_Python_fixed: Mar 22, 14:58:01
VicIns_LoRA_CL_Python_fixed: Mar 22, 13:21:48
VicIns_LoRA_CL_Python_fixed: Mar 22, 13:21:48
VicIns_LoRA_CL_Python_fixed: Mar 22, 09:28:24
VicIns_LoRA_CL_Python_fixed: Mar 22, 09:28:24
VicIns_LoRA_CL_Python_overfit: Mar 22, 09:07:21
VicIns_LoRA_CL_Python_overfit: Mar 22, 09:07:21
VicIns_LoRA_CL_Python: Mar 22, 08:52:12
VicIns_LoRA_CL_Python: Mar 22, 08:52:12
VicIns_LoRA_CL_Python: Mar 22, 08:47:19
VicIns_LoRA_CL_Python: Mar 22, 08:47:19
VicIns_LoRA_CL_Python: Mar 22, 08:43:58
VicIns_LoRA_CL_Python: Mar 22, 08:43:58
VicIns_LoRA_CL_Python: Mar 21, 19:58:27
VicIns_LoRA_CL_Python: Mar 21, 19:58:27
VicIns_LoRA_CL_Python: Mar 21, 19:53:16
VicIns_LoRA_CL_Python: Mar 21, 19:53:16
VicIns_LoRA_CL_Python: Mar 21, 19:39:00
VicIns_LoRA_CL_Python: Mar 21, 19:39:00
VicIns_LoRA_CL_Python: Mar 21, 19:25:19
VicIns_LoRA_CL_Python: Mar 21, 19:25:19
VicIns_LoRA_CL_Python: Mar 21, 19:22:39
VicIns_LoRA_CL_Python: Mar 21, 19:22:39
VicIns_LoRA_CL_Python: Mar 21, 19:20:23
VicIns_LoRA_CL_Python: Mar 21, 19:20:23
VicIns_LoRA_CL_Python: Mar 21, 19:18:59
VicIns_LoRA_CL_Python: Mar 21, 19:18:59
VicIns_LoRA_CL_Python: Mar 21, 19:16:54
VicIns_LoRA_CL_Python: Mar 21, 19:16:54
VicIns_LoRA_CL_Python: Mar 21, 18:05:38
VicIns_LoRA_CL_Python: Mar 21, 18:05:38
VicIns_LoRA_CL_Python: Mar 21, 18:04:55
VicIns_LoRA_CL_Python: Mar 21, 18:04:55
VicIns_LoRA_CL_Python: Mar 21, 18:03:17
VicIns_LoRA_CL_Python: Mar 21, 18:03:17
VicIns_LoRA_CL_Python: Mar 21, 17:05:14
VicIns_LoRA_CL_Python: Mar 21, 17:05:14
VicIns_LoRA_CL_Python: Mar 21, 17:04:36
VicIns_LoRA_CL_Python: Mar 21, 17:04:36
VicIns_LoRA_CL_Python: Mar 21, 17:02:42
VicIns_LoRA_CL_Python: Mar 21, 17:02:42
VicIns_LoRA_CL_Python: Mar 21, 17:01:58
VicIns_LoRA_CL_Python: Mar 21, 17:01:58
VicIns_LoRA_CL_Python: Mar 21, 16:53:03
VicIns_LoRA_CL_Python: Mar 21, 16:53:03
VicIns_LoRA_CL_Python: Mar 21, 16:45:55
VicIns_LoRA_CL_Python: Mar 21, 16:45:55
Cluster_LoRA_CL_Python: Mar 20, 21:53:16
Cluster_LoRA_CL_Python: Mar 20, 21:53:16
Cluster_LoRA_CL_Python: Mar 20, 21:52:00
Cluster_LoRA_CL_Python: Mar 20, 21:52:00
Cluster_LoRA_CL_Python: Mar 20, 21:47:38
Cluster_LoRA_CL_Python: Mar 20, 21:47:38
Cluster_LoRA_CL_Python: Mar 20, 19:22:42
Cluster_LoRA_CL_Python: Mar 20, 19:22:42
Cluster_LoRA_CL_Python: Mar 20, 19:21:49
Cluster_LoRA_CL_Python: Mar 20, 19:21:49
Cluster_LoRA_CL_Python: Mar 20, 18:14:37
Cluster_LoRA_CL_Python: Mar 20, 18:14:37
Cluster_LoRA_CL_Python: Mar 20, 18:09:48
Cluster_LoRA_CL_Python: Mar 20, 18:09:48
Cluster_LoRA_CL_Python: Mar 20, 18:09:08
Cluster_LoRA_CL_Python: Mar 20, 18:09:08
Cluster_LoRA_CL_Python: Mar 20, 18:02:54
Cluster_LoRA_CL_Python: Mar 20, 18:02:54
Cluster_LoRA_CL_Python: Mar 20, 18:01:44
Cluster_LoRA_CL_Python: Mar 20, 18:01:44
Cluster_LoRA_CL_Python: Mar 20, 18:00:45
Cluster_LoRA_CL_Python: Mar 20, 18:00:45
Cluster_LoRA_CL_Python: Mar 20, 18:00:06
Cluster_LoRA_CL_Python: Mar 20, 18:00:06
Cluster_LoRA_CL_Python: Mar 20, 17:57:17
Cluster_LoRA_CL_Python: Mar 20, 17:57:17
Cluster_LoRA_CL_Python: Mar 20, 17:55:56
Cluster_LoRA_CL_Python: Mar 20, 17:55:56
Cluster_LoRA_CL_Python: Mar 20, 17:55:25
Cluster_LoRA_CL_Python: Mar 20, 17:55:25
Cluster_LoRA_CL_Python: Mar 20, 17:54:38
Cluster_LoRA_CL_Python: Mar 20, 17:54:38
Cluster_LoRA_CL_Python: Mar 20, 17:53:32
Cluster_LoRA_CL_Python: Mar 20, 17:53:32
Cluster_LoRA_CL_Python: Mar 20, 17:52:29
Cluster_LoRA_CL_Python: Mar 20, 17:52:29
Cluster_LoRA_CL_Python: Mar 20, 17:48:32
Cluster_LoRA_CL_Python: Mar 20, 17:48:32
Cluster_LoRA_CL_Python: Mar 20, 17:47:06
Cluster_LoRA_CL_Python: Mar 20, 17:47:06
Cluster_LoRA_CL_Python: Mar 20, 17:43:38
Cluster_LoRA_CL_Python: Mar 20, 17:43:38
Cluster_LoRA_CL_Python: Mar 20, 17:41:53
Cluster_LoRA_CL_Python: Mar 20, 17:41:53
Cluster_LoRA_CL_Python: Mar 20, 17:39:49
Cluster_LoRA_CL_Python: Mar 20, 17:39:49
Cluster_LoRA_CL_Python: Mar 20, 17:37:42
Cluster_LoRA_CL_Python: Mar 20, 17:37:42
Cluster_LoRA_CL_Python: Mar 20, 17:33:59
Cluster_LoRA_CL_Python: Mar 20, 17:33:59
Cluster_LoRA_CL_Python: Mar 20, 17:33:01
Cluster_LoRA_CL_Python: Mar 20, 17:33:01
Cluster_LoRA_CL_Python: Mar 20, 17:28:31
Cluster_LoRA_CL_Python: Mar 20, 17:28:31
Cluster_LoRA_CL_Python: Mar 20, 17:25:50
Cluster_LoRA_CL_Python: Mar 20, 17:25:50
Cluster_LoRA_CL_Python: Mar 20, 17:20:51
Cluster_LoRA_CL_Python: Mar 20, 17:20:51
Cluster_LoRA_CL_Python: Mar 20, 17:18:49
Cluster_LoRA_CL_Python: Mar 20, 17:18:49
Cluster_LoRA_CL_Python: Mar 20, 17:15:38
Cluster_LoRA_CL_Python: Mar 20, 17:15:38
Cluster_LoRA_CL_Python: Mar 20, 16:19:03
Cluster_LoRA_CL_Python: Mar 20, 16:19:03
QLoRA_4bit_r64
QLoRA_4bit_r64
QLoRA_4bit_r128
QLoRA_4bit_r128
QLoRA_test670487
QLoRA_test670487
QLoRA_test670487
QLoRA_test670487
QLoRA_test670487
QLoRA_test670487
QLoRA_test670487
QLoRA_test670487
QLoRA_test15631219101
QLoRA_test15631219101
QLoRA_test15631219101
QLoRA_test15631219101
QLoRA_test15631219101
QLoRA_test15631219101
QLoRA_test15631219101
QLoRA_test15631219101
QLoRA_test15631219101
QLoRA_test15631219101
LoRA_CL_Python: Mar 15, 15:34:55
LoRA_CL_Python: Mar 15, 15:34:55
lora_CL_Python: Mar 15, 15:28:46
lora_CL_Python: Mar 15, 15:28:46
lora_CL_Python_Mar 15, 15:25:49
lora_CL_Python_Mar 15, 15:25:49
lora_CL_Python_id184263
lora_CL_Python_id184263
lora_CL_Python_id995427
lora_CL_Python_id995427
mild-disco-111
mild-disco-111
breezy-wildflower-110
breezy-wildflower-110
avid-surf-109
avid-surf-109
lucky-sun-108
lucky-sun-108
honest-terrain-107
honest-terrain-107
daily-fire-106
daily-fire-106
deep-plant-105
deep-plant-105
unique-dew-104
unique-dew-104
fallen-sun-103
fallen-sun-103
happy-gorge-102
happy-gorge-102
distinctive-yogurt-101
distinctive-yogurt-101
absurd-sound-100
absurd-sound-100
gentle-darkness-99
gentle-darkness-99
1-100
of 198
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eval
4
1-4 of 4
eval/steps_per_second
eval/steps_per_second
50
100
150
200
250
300
Step
4.06
4.08
4.1
4.12
4.14
4.16
Upd_dataset_without_pandas: Apr 28, 00:44:30
Upd_dataset_on_2000_pandas: Apr 28, 00:30:56
Upd_dataset_on_2000_pandas: Apr 27, 22:04:29
Upd_dataset_on_2000_pandas: Apr 27, 20:42:26
eval/samples_per_second
eval/samples_per_second
50
100
150
200
250
300
Step
4.06
4.08
4.1
4.12
4.14
4.16
Upd_dataset_without_pandas: Apr 28, 00:44:30
Upd_dataset_on_2000_pandas: Apr 28, 00:30:56
Upd_dataset_on_2000_pandas: Apr 27, 22:04:29
Upd_dataset_on_2000_pandas: Apr 27, 20:42:26
eval/loss
eval/loss
50
100
150
200
250
300
Step
0.2
0.4
0.6
0.8
1
eval/runtime
eval/runtime
50
100
150
200
250
300
Step
1.45
1.46
1.47
1.48
Upd_dataset_without_pandas: Apr 28, 00:44:30
Upd_dataset_on_2000_pandas: Apr 28, 00:30:56
Upd_dataset_on_2000_pandas: Apr 27, 22:04:29
Upd_dataset_on_2000_pandas: Apr 27, 20:42:26
train
5
1-5 of 5
System
28
1-6 of 28
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