Upload 8 files
Browse filesFirst model version
- checkpoint/.gitattributes +2 -0
- checkpoint/config.json +39 -0
- checkpoint/optimizer.pt +3 -0
- checkpoint/pytorch_model.bin +3 -0
- checkpoint/rng_state.pth +3 -0
- checkpoint/scheduler.pt +3 -0
- checkpoint/trainer_state.json +1121 -0
- checkpoint/training_args.bin +3 -0
checkpoint/.gitattributes
ADDED
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
1 |
+
*.pt filter=lfs diff=lfs merge=lfs -text
|
2 |
+
*.bin filter=lfs diff=lfs merge=lfs -text
|
checkpoint/config.json
ADDED
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/home/ahf38/palmer_scratch/brainlm/training-runs/2023-07-17-19_00_00/checkpoint-1750",
|
3 |
+
"architectures": [
|
4 |
+
"BrainLMForPretraining"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"conv_kernel_size": 65,
|
8 |
+
"decoder_hidden_size": 512,
|
9 |
+
"decoder_intermediate_size": 1024,
|
10 |
+
"decoder_num_attention_heads": 4,
|
11 |
+
"decoder_num_hidden_layers": 2,
|
12 |
+
"hidden_act": "gelu",
|
13 |
+
"hidden_dropout_prob": 0.0,
|
14 |
+
"hidden_size": 512,
|
15 |
+
"image_size": 224,
|
16 |
+
"initializer_range": 0.02,
|
17 |
+
"intermediate_size": 1024,
|
18 |
+
"inv_coeff_init_option": false,
|
19 |
+
"layer_norm_eps": 1e-12,
|
20 |
+
"loss_fn": "mse",
|
21 |
+
"mask_ratio": 0.2,
|
22 |
+
"max_eval_samples": 800,
|
23 |
+
"model_type": "brainlm_mae",
|
24 |
+
"norm_pix_loss": false,
|
25 |
+
"num_attention_heads": 4,
|
26 |
+
"num_brain_voxels": 424,
|
27 |
+
"num_channels": 3,
|
28 |
+
"num_hidden_layers": 4,
|
29 |
+
"num_landmarks": 64,
|
30 |
+
"num_timepoints_per_voxel": 200,
|
31 |
+
"patch_size": 16,
|
32 |
+
"qkv_bias": true,
|
33 |
+
"segment_means_seq_len": 64,
|
34 |
+
"timepoint_patching_size": 20,
|
35 |
+
"torch_dtype": "float32",
|
36 |
+
"transformers_version": "4.30.0.dev0",
|
37 |
+
"use_tanh_decoder": false,
|
38 |
+
"weight_decay": 1e-05
|
39 |
+
}
|
checkpoint/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4782bce14b3d264eee0a0a1ab7169d19a15a65cbbb828b29cfe1b34479ea0d05
|
3 |
+
size 104351649
|
checkpoint/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8cd41e52a4c25a7e4c27b91994f9701f56c62ebc498f62576979f8aee4220a94
|
3 |
+
size 74237641
|
checkpoint/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:66c42697856b27de62066cce114703542b056aefe0e54d932603929c9bbaab5b
|
3 |
+
size 14503
|
checkpoint/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e8635a0bc0753280e659229899e16371eae66a73fe73b2ae4566bf70b33885a8
|
3 |
+
size 623
|
checkpoint/trainer_state.json
ADDED
@@ -0,0 +1,1121 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.37047404050827026,
|
3 |
+
"best_model_checkpoint": "/home/ahf38/palmer_scratch/brainlm/training-runs/2023-07-19-17_00_00/checkpoint-3250",
|
4 |
+
"epoch": 13.63040629095675,
|
5 |
+
"global_step": 3250,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0,
|
12 |
+
"learning_rate": 0.0002100840336134454,
|
13 |
+
"loss": 0.3863,
|
14 |
+
"step": 50
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0,
|
18 |
+
"eval_loss": 0.3854129910469055,
|
19 |
+
"eval_mae": 0.4674049913883209,
|
20 |
+
"eval_mse": 0.38541293144226074,
|
21 |
+
"eval_r2": 0.4410198587613452,
|
22 |
+
"eval_runtime": 273.6849,
|
23 |
+
"eval_samples_per_second": 2.923,
|
24 |
+
"eval_steps_per_second": 0.731,
|
25 |
+
"step": 50
|
26 |
+
},
|
27 |
+
{
|
28 |
+
"epoch": 0,
|
29 |
+
"learning_rate": 0.0004201680672268908,
|
30 |
+
"loss": 0.3852,
|
31 |
+
"step": 100
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0,
|
35 |
+
"eval_loss": 0.38619935512542725,
|
36 |
+
"eval_mae": 0.46789708733558655,
|
37 |
+
"eval_mse": 0.386198490858078,
|
38 |
+
"eval_r2": 0.4393806237898299,
|
39 |
+
"eval_runtime": 280.3385,
|
40 |
+
"eval_samples_per_second": 2.854,
|
41 |
+
"eval_steps_per_second": 0.713,
|
42 |
+
"step": 100
|
43 |
+
},
|
44 |
+
{
|
45 |
+
"epoch": 0,
|
46 |
+
"learning_rate": 0.0006302521008403362,
|
47 |
+
"loss": 0.3851,
|
48 |
+
"step": 150
|
49 |
+
},
|
50 |
+
{
|
51 |
+
"epoch": 0,
|
52 |
+
"eval_loss": 0.38692620396614075,
|
53 |
+
"eval_mae": 0.4686347544193268,
|
54 |
+
"eval_mse": 0.3869261145591736,
|
55 |
+
"eval_r2": 0.43769447169001496,
|
56 |
+
"eval_runtime": 264.849,
|
57 |
+
"eval_samples_per_second": 3.021,
|
58 |
+
"eval_steps_per_second": 0.755,
|
59 |
+
"step": 150
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0,
|
63 |
+
"learning_rate": 0.0008403361344537816,
|
64 |
+
"loss": 0.393,
|
65 |
+
"step": 200
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0,
|
69 |
+
"eval_loss": 0.409867525100708,
|
70 |
+
"eval_mae": 0.4844866693019867,
|
71 |
+
"eval_mse": 0.4098674952983856,
|
72 |
+
"eval_r2": 0.4059509929564361,
|
73 |
+
"eval_runtime": 264.8497,
|
74 |
+
"eval_samples_per_second": 3.021,
|
75 |
+
"eval_steps_per_second": 0.755,
|
76 |
+
"step": 200
|
77 |
+
},
|
78 |
+
{
|
79 |
+
"epoch": 1,
|
80 |
+
"learning_rate": 0.0009999826244478293,
|
81 |
+
"loss": 0.3975,
|
82 |
+
"step": 250
|
83 |
+
},
|
84 |
+
{
|
85 |
+
"epoch": 1,
|
86 |
+
"eval_loss": 0.3888590931892395,
|
87 |
+
"eval_mae": 0.46977394819259644,
|
88 |
+
"eval_mse": 0.38885924220085144,
|
89 |
+
"eval_r2": 0.43532054204855475,
|
90 |
+
"eval_runtime": 263.3448,
|
91 |
+
"eval_samples_per_second": 3.038,
|
92 |
+
"eval_steps_per_second": 0.759,
|
93 |
+
"step": 250
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 1,
|
97 |
+
"learning_rate": 0.0009995362383107963,
|
98 |
+
"loss": 0.3883,
|
99 |
+
"step": 300
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 1,
|
103 |
+
"eval_loss": 0.3876199424266815,
|
104 |
+
"eval_mae": 0.46888846158981323,
|
105 |
+
"eval_mse": 0.3876205086708069,
|
106 |
+
"eval_r2": 0.4391745591771552,
|
107 |
+
"eval_runtime": 264.9341,
|
108 |
+
"eval_samples_per_second": 3.02,
|
109 |
+
"eval_steps_per_second": 0.755,
|
110 |
+
"step": 300
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 1,
|
114 |
+
"learning_rate": 0.000998487151097676,
|
115 |
+
"loss": 0.3887,
|
116 |
+
"step": 350
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 1,
|
120 |
+
"eval_loss": 0.3875642418861389,
|
121 |
+
"eval_mae": 0.4687305688858032,
|
122 |
+
"eval_mse": 0.38756391406059265,
|
123 |
+
"eval_r2": 0.4382047783977898,
|
124 |
+
"eval_runtime": 272.0994,
|
125 |
+
"eval_samples_per_second": 2.94,
|
126 |
+
"eval_steps_per_second": 0.735,
|
127 |
+
"step": 350
|
128 |
+
},
|
129 |
+
{
|
130 |
+
"epoch": 1,
|
131 |
+
"learning_rate": 0.0009968366285544618,
|
132 |
+
"loss": 0.386,
|
133 |
+
"step": 400
|
134 |
+
},
|
135 |
+
{
|
136 |
+
"epoch": 1,
|
137 |
+
"eval_loss": 0.3863183557987213,
|
138 |
+
"eval_mae": 0.4679754078388214,
|
139 |
+
"eval_mse": 0.386318176984787,
|
140 |
+
"eval_r2": 0.4391650800336171,
|
141 |
+
"eval_runtime": 272.2539,
|
142 |
+
"eval_samples_per_second": 2.938,
|
143 |
+
"eval_steps_per_second": 0.735,
|
144 |
+
"step": 400
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 1,
|
148 |
+
"learning_rate": 0.000994586662071641,
|
149 |
+
"loss": 0.3861,
|
150 |
+
"step": 450
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 1,
|
154 |
+
"eval_loss": 0.39024049043655396,
|
155 |
+
"eval_mae": 0.47065961360931396,
|
156 |
+
"eval_mse": 0.39024049043655396,
|
157 |
+
"eval_r2": 0.4331343008067088,
|
158 |
+
"eval_runtime": 266.2407,
|
159 |
+
"eval_samples_per_second": 3.005,
|
160 |
+
"eval_steps_per_second": 0.751,
|
161 |
+
"step": 450
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 2,
|
165 |
+
"learning_rate": 0.000991739966281539,
|
166 |
+
"loss": 0.3876,
|
167 |
+
"step": 500
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"epoch": 2,
|
171 |
+
"eval_loss": 0.3867352604866028,
|
172 |
+
"eval_mae": 0.46853551268577576,
|
173 |
+
"eval_mse": 0.3867342174053192,
|
174 |
+
"eval_r2": 0.43885509094622643,
|
175 |
+
"eval_runtime": 265.3966,
|
176 |
+
"eval_samples_per_second": 3.014,
|
177 |
+
"eval_steps_per_second": 0.754,
|
178 |
+
"step": 500
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 2,
|
182 |
+
"learning_rate": 0.0009882999757830587,
|
183 |
+
"loss": 0.386,
|
184 |
+
"step": 550
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 2,
|
188 |
+
"eval_loss": 0.38316670060157776,
|
189 |
+
"eval_mae": 0.46593964099884033,
|
190 |
+
"eval_mse": 0.3831673562526703,
|
191 |
+
"eval_r2": 0.44430950413045944,
|
192 |
+
"eval_runtime": 262.4987,
|
193 |
+
"eval_samples_per_second": 3.048,
|
194 |
+
"eval_steps_per_second": 0.762,
|
195 |
+
"step": 550
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 2,
|
199 |
+
"learning_rate": 0.0009842708409977634,
|
200 |
+
"loss": 0.3851,
|
201 |
+
"step": 600
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 2,
|
205 |
+
"eval_loss": 0.3835921585559845,
|
206 |
+
"eval_mae": 0.4662681818008423,
|
207 |
+
"eval_mse": 0.38359254598617554,
|
208 |
+
"eval_r2": 0.4431584385649353,
|
209 |
+
"eval_runtime": 262.0832,
|
210 |
+
"eval_samples_per_second": 3.052,
|
211 |
+
"eval_steps_per_second": 0.763,
|
212 |
+
"step": 600
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 2,
|
216 |
+
"learning_rate": 0.0009796574231623054,
|
217 |
+
"loss": 0.3828,
|
218 |
+
"step": 650
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 2,
|
222 |
+
"eval_loss": 0.38348111510276794,
|
223 |
+
"eval_mae": 0.46614208817481995,
|
224 |
+
"eval_mse": 0.3834820091724396,
|
225 |
+
"eval_r2": 0.44133966944739267,
|
226 |
+
"eval_runtime": 267.1672,
|
227 |
+
"eval_samples_per_second": 2.994,
|
228 |
+
"eval_steps_per_second": 0.749,
|
229 |
+
"step": 650
|
230 |
+
},
|
231 |
+
{
|
232 |
+
"epoch": 2,
|
233 |
+
"learning_rate": 0.0009744652884632406,
|
234 |
+
"loss": 0.3839,
|
235 |
+
"step": 700
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"epoch": 2,
|
239 |
+
"eval_loss": 0.38388848304748535,
|
240 |
+
"eval_mae": 0.46622949838638306,
|
241 |
+
"eval_mse": 0.38388875126838684,
|
242 |
+
"eval_r2": 0.44094833637705777,
|
243 |
+
"eval_runtime": 264.3781,
|
244 |
+
"eval_samples_per_second": 3.026,
|
245 |
+
"eval_steps_per_second": 0.756,
|
246 |
+
"step": 700
|
247 |
+
},
|
248 |
+
{
|
249 |
+
"epoch": 3,
|
250 |
+
"learning_rate": 0.0009687007013213062,
|
251 |
+
"loss": 0.3848,
|
252 |
+
"step": 750
|
253 |
+
},
|
254 |
+
{
|
255 |
+
"epoch": 3,
|
256 |
+
"eval_loss": 0.3808014392852783,
|
257 |
+
"eval_mae": 0.46472200751304626,
|
258 |
+
"eval_mse": 0.38080185651779175,
|
259 |
+
"eval_r2": 0.44630267861478945,
|
260 |
+
"eval_runtime": 265.0946,
|
261 |
+
"eval_samples_per_second": 3.018,
|
262 |
+
"eval_steps_per_second": 0.754,
|
263 |
+
"step": 750
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 3,
|
267 |
+
"learning_rate": 0.0009623706168332644,
|
268 |
+
"loss": 0.3821,
|
269 |
+
"step": 800
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 3,
|
273 |
+
"eval_loss": 0.3820662200450897,
|
274 |
+
"eval_mae": 0.4652169346809387,
|
275 |
+
"eval_mse": 0.3820664882659912,
|
276 |
+
"eval_r2": 0.4448990871151196,
|
277 |
+
"eval_runtime": 267.613,
|
278 |
+
"eval_samples_per_second": 2.989,
|
279 |
+
"eval_steps_per_second": 0.747,
|
280 |
+
"step": 800
|
281 |
+
},
|
282 |
+
{
|
283 |
+
"epoch": 3,
|
284 |
+
"learning_rate": 0.0009554826723804303,
|
285 |
+
"loss": 0.3818,
|
286 |
+
"step": 850
|
287 |
+
},
|
288 |
+
{
|
289 |
+
"epoch": 3,
|
290 |
+
"eval_loss": 0.3809438645839691,
|
291 |
+
"eval_mae": 0.46468687057495117,
|
292 |
+
"eval_mse": 0.3809432089328766,
|
293 |
+
"eval_r2": 0.4446287307018585,
|
294 |
+
"eval_runtime": 264.0042,
|
295 |
+
"eval_samples_per_second": 3.03,
|
296 |
+
"eval_steps_per_second": 0.758,
|
297 |
+
"step": 850
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 3,
|
301 |
+
"learning_rate": 0.0009480451784140092,
|
302 |
+
"loss": 0.3824,
|
303 |
+
"step": 900
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 3,
|
307 |
+
"eval_loss": 0.38150742650032043,
|
308 |
+
"eval_mae": 0.4647422134876251,
|
309 |
+
"eval_mse": 0.3815067708492279,
|
310 |
+
"eval_r2": 0.44662126614575437,
|
311 |
+
"eval_runtime": 267.3864,
|
312 |
+
"eval_samples_per_second": 2.992,
|
313 |
+
"eval_steps_per_second": 0.748,
|
314 |
+
"step": 900
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 3,
|
318 |
+
"learning_rate": 0.0009400671084283606,
|
319 |
+
"loss": 0.3816,
|
320 |
+
"step": 950
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 3,
|
324 |
+
"eval_loss": 0.3832119107246399,
|
325 |
+
"eval_mae": 0.46604394912719727,
|
326 |
+
"eval_mse": 0.3832109272480011,
|
327 |
+
"eval_r2": 0.4432983612099932,
|
328 |
+
"eval_runtime": 284.3156,
|
329 |
+
"eval_samples_per_second": 2.814,
|
330 |
+
"eval_steps_per_second": 0.703,
|
331 |
+
"step": 950
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 4,
|
335 |
+
"learning_rate": 0.0009315580881342876,
|
336 |
+
"loss": 0.3794,
|
337 |
+
"step": 1000
|
338 |
+
},
|
339 |
+
{
|
340 |
+
"epoch": 4,
|
341 |
+
"eval_loss": 0.3803976774215698,
|
342 |
+
"eval_mae": 0.4641774296760559,
|
343 |
+
"eval_mse": 0.380397766828537,
|
344 |
+
"eval_r2": 0.4470804443192825,
|
345 |
+
"eval_runtime": 265.2618,
|
346 |
+
"eval_samples_per_second": 3.016,
|
347 |
+
"eval_steps_per_second": 0.754,
|
348 |
+
"step": 1000
|
349 |
+
},
|
350 |
+
{
|
351 |
+
"epoch": 4,
|
352 |
+
"learning_rate": 0.000922528383845411,
|
353 |
+
"loss": 0.3819,
|
354 |
+
"step": 1050
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 4,
|
358 |
+
"eval_loss": 0.38107830286026,
|
359 |
+
"eval_mae": 0.4645218849182129,
|
360 |
+
"eval_mse": 0.38107892870903015,
|
361 |
+
"eval_r2": 0.4483045268109964,
|
362 |
+
"eval_runtime": 265.6012,
|
363 |
+
"eval_samples_per_second": 3.012,
|
364 |
+
"eval_steps_per_second": 0.753,
|
365 |
+
"step": 1050
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 4,
|
369 |
+
"learning_rate": 0.0009129888900916457,
|
370 |
+
"loss": 0.3799,
|
371 |
+
"step": 1100
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 4,
|
375 |
+
"eval_loss": 0.38090744614601135,
|
376 |
+
"eval_mae": 0.46439129114151,
|
377 |
+
"eval_mse": 0.38090750575065613,
|
378 |
+
"eval_r2": 0.4488611430910662,
|
379 |
+
"eval_runtime": 271.1593,
|
380 |
+
"eval_samples_per_second": 2.95,
|
381 |
+
"eval_steps_per_second": 0.738,
|
382 |
+
"step": 1100
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 4,
|
386 |
+
"learning_rate": 0.0009029511164747175,
|
387 |
+
"loss": 0.383,
|
388 |
+
"step": 1150
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 4,
|
392 |
+
"eval_loss": 0.3813271224498749,
|
393 |
+
"eval_mae": 0.4647519886493683,
|
394 |
+
"eval_mse": 0.38132649660110474,
|
395 |
+
"eval_r2": 0.44615534251165345,
|
396 |
+
"eval_runtime": 272.9035,
|
397 |
+
"eval_samples_per_second": 2.931,
|
398 |
+
"eval_steps_per_second": 0.733,
|
399 |
+
"step": 1150
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 5,
|
403 |
+
"learning_rate": 0.0008924271737815855,
|
404 |
+
"loss": 0.3809,
|
405 |
+
"step": 1200
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 5,
|
409 |
+
"eval_loss": 0.37957870960235596,
|
410 |
+
"eval_mae": 0.46358469128608704,
|
411 |
+
"eval_mse": 0.3795786499977112,
|
412 |
+
"eval_r2": 0.4479695425018687,
|
413 |
+
"eval_runtime": 265.8282,
|
414 |
+
"eval_samples_per_second": 3.009,
|
415 |
+
"eval_steps_per_second": 0.752,
|
416 |
+
"step": 1200
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 5,
|
420 |
+
"learning_rate": 0.0008814297593725199,
|
421 |
+
"loss": 0.3805,
|
422 |
+
"step": 1250
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 5,
|
426 |
+
"eval_loss": 0.38085976243019104,
|
427 |
+
"eval_mae": 0.46433085203170776,
|
428 |
+
"eval_mse": 0.38085973262786865,
|
429 |
+
"eval_r2": 0.44749606591539537,
|
430 |
+
"eval_runtime": 270.336,
|
431 |
+
"eval_samples_per_second": 2.959,
|
432 |
+
"eval_steps_per_second": 0.74,
|
433 |
+
"step": 1250
|
434 |
+
},
|
435 |
+
{
|
436 |
+
"epoch": 5,
|
437 |
+
"learning_rate": 0.0008699721418614672,
|
438 |
+
"loss": 0.3805,
|
439 |
+
"step": 1300
|
440 |
+
},
|
441 |
+
{
|
442 |
+
"epoch": 5,
|
443 |
+
"eval_loss": 0.3793216049671173,
|
444 |
+
"eval_mae": 0.46346384286880493,
|
445 |
+
"eval_mse": 0.3793216049671173,
|
446 |
+
"eval_r2": 0.4494445278203605,
|
447 |
+
"eval_runtime": 264.9048,
|
448 |
+
"eval_samples_per_second": 3.02,
|
449 |
+
"eval_steps_per_second": 0.755,
|
450 |
+
"step": 1300
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 5,
|
454 |
+
"learning_rate": 0.0008580681451071866,
|
455 |
+
"loss": 0.3794,
|
456 |
+
"step": 1350
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 5,
|
460 |
+
"eval_loss": 0.37941062450408936,
|
461 |
+
"eval_mae": 0.4636057913303375,
|
462 |
+
"eval_mse": 0.37941014766693115,
|
463 |
+
"eval_r2": 0.4489888493647255,
|
464 |
+
"eval_runtime": 279.0513,
|
465 |
+
"eval_samples_per_second": 2.867,
|
466 |
+
"eval_steps_per_second": 0.717,
|
467 |
+
"step": 1350
|
468 |
+
},
|
469 |
+
{
|
470 |
+
"epoch": 5,
|
471 |
+
"learning_rate": 0.0008457321315344694,
|
472 |
+
"loss": 0.3806,
|
473 |
+
"step": 1400
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 5,
|
477 |
+
"eval_loss": 0.37968844175338745,
|
478 |
+
"eval_mae": 0.4636916518211365,
|
479 |
+
"eval_mse": 0.3796885013580322,
|
480 |
+
"eval_r2": 0.4474722627694526,
|
481 |
+
"eval_runtime": 268.6996,
|
482 |
+
"eval_samples_per_second": 2.977,
|
483 |
+
"eval_steps_per_second": 0.744,
|
484 |
+
"step": 1400
|
485 |
+
},
|
486 |
+
{
|
487 |
+
"epoch": 6,
|
488 |
+
"learning_rate": 0.0008329789848055705,
|
489 |
+
"loss": 0.3764,
|
490 |
+
"step": 1450
|
491 |
+
},
|
492 |
+
{
|
493 |
+
"epoch": 6,
|
494 |
+
"eval_loss": 0.3784217834472656,
|
495 |
+
"eval_mae": 0.4628964364528656,
|
496 |
+
"eval_mse": 0.37842199206352234,
|
497 |
+
"eval_r2": 0.45179472514661223,
|
498 |
+
"eval_runtime": 275.6704,
|
499 |
+
"eval_samples_per_second": 2.902,
|
500 |
+
"eval_steps_per_second": 0.726,
|
501 |
+
"step": 1450
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 6,
|
505 |
+
"learning_rate": 0.0008198240918627525,
|
506 |
+
"loss": 0.3802,
|
507 |
+
"step": 1500
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 6,
|
511 |
+
"eval_loss": 0.3779056966304779,
|
512 |
+
"eval_mae": 0.4623972177505493,
|
513 |
+
"eval_mse": 0.37790581583976746,
|
514 |
+
"eval_r2": 0.45185399059020337,
|
515 |
+
"eval_runtime": 269.5949,
|
516 |
+
"eval_samples_per_second": 2.967,
|
517 |
+
"eval_steps_per_second": 0.742,
|
518 |
+
"step": 1500
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 6,
|
522 |
+
"learning_rate": 0.0008062833243636134,
|
523 |
+
"loss": 0.3787,
|
524 |
+
"step": 1550
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 6,
|
528 |
+
"eval_loss": 0.3789410889148712,
|
529 |
+
"eval_mae": 0.46288514137268066,
|
530 |
+
"eval_mse": 0.37894150614738464,
|
531 |
+
"eval_r2": 0.4510378453068221,
|
532 |
+
"eval_runtime": 291.6469,
|
533 |
+
"eval_samples_per_second": 2.743,
|
534 |
+
"eval_steps_per_second": 0.686,
|
535 |
+
"step": 1550
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 6,
|
539 |
+
"learning_rate": 0.0007923730195315961,
|
540 |
+
"loss": 0.379,
|
541 |
+
"step": 1600
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 6,
|
545 |
+
"eval_loss": 0.3779994249343872,
|
546 |
+
"eval_mae": 0.4624533951282501,
|
547 |
+
"eval_mse": 0.377999484539032,
|
548 |
+
"eval_r2": 0.4508841579385672,
|
549 |
+
"eval_runtime": 278.879,
|
550 |
+
"eval_samples_per_second": 2.869,
|
551 |
+
"eval_steps_per_second": 0.717,
|
552 |
+
"step": 1600
|
553 |
+
},
|
554 |
+
{
|
555 |
+
"epoch": 6,
|
556 |
+
"learning_rate": 0.0007781099604447793,
|
557 |
+
"loss": 0.3765,
|
558 |
+
"step": 1650
|
559 |
+
},
|
560 |
+
{
|
561 |
+
"epoch": 6,
|
562 |
+
"eval_loss": 0.37762123346328735,
|
563 |
+
"eval_mae": 0.4622168242931366,
|
564 |
+
"eval_mse": 0.37762120366096497,
|
565 |
+
"eval_r2": 0.452898354940625,
|
566 |
+
"eval_runtime": 278.1979,
|
567 |
+
"eval_samples_per_second": 2.876,
|
568 |
+
"eval_steps_per_second": 0.719,
|
569 |
+
"step": 1650
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 7,
|
573 |
+
"learning_rate": 0.0007635113557867395,
|
574 |
+
"loss": 0.3797,
|
575 |
+
"step": 1700
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 7,
|
579 |
+
"eval_loss": 0.37847700715065,
|
580 |
+
"eval_mae": 0.4626946747303009,
|
581 |
+
"eval_mse": 0.378477543592453,
|
582 |
+
"eval_r2": 0.4524606040645045,
|
583 |
+
"eval_runtime": 265.647,
|
584 |
+
"eval_samples_per_second": 3.012,
|
585 |
+
"eval_steps_per_second": 0.753,
|
586 |
+
"step": 1700
|
587 |
+
},
|
588 |
+
{
|
589 |
+
"epoch": 7,
|
590 |
+
"learning_rate": 0.0007485948190839076,
|
591 |
+
"loss": 0.3772,
|
592 |
+
"step": 1750
|
593 |
+
},
|
594 |
+
{
|
595 |
+
"epoch": 7,
|
596 |
+
"eval_loss": 0.3774454891681671,
|
597 |
+
"eval_mae": 0.46223533153533936,
|
598 |
+
"eval_mse": 0.37744590640068054,
|
599 |
+
"eval_r2": 0.45290920313283933,
|
600 |
+
"eval_runtime": 268.9714,
|
601 |
+
"eval_samples_per_second": 2.974,
|
602 |
+
"eval_steps_per_second": 0.744,
|
603 |
+
"step": 1750
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 7,
|
607 |
+
"learning_rate": 0.0007333783474544757,
|
608 |
+
"loss": 0.3792,
|
609 |
+
"step": 1800
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 7,
|
613 |
+
"eval_loss": 0.37726637721061707,
|
614 |
+
"eval_mae": 0.46205469965934753,
|
615 |
+
"eval_mse": 0.3772661089897156,
|
616 |
+
"eval_r2": 0.45215750792291154,
|
617 |
+
"eval_runtime": 270.804,
|
618 |
+
"eval_samples_per_second": 2.954,
|
619 |
+
"eval_steps_per_second": 0.739,
|
620 |
+
"step": 1800
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 7,
|
624 |
+
"learning_rate": 0.0007178802998944933,
|
625 |
+
"loss": 0.3753,
|
626 |
+
"step": 1850
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 7,
|
630 |
+
"eval_loss": 0.3767879009246826,
|
631 |
+
"eval_mae": 0.4616534411907196,
|
632 |
+
"eval_mse": 0.3767889440059662,
|
633 |
+
"eval_r2": 0.4520469227666626,
|
634 |
+
"eval_runtime": 263.9276,
|
635 |
+
"eval_samples_per_second": 3.031,
|
636 |
+
"eval_steps_per_second": 0.758,
|
637 |
+
"step": 1850
|
638 |
+
},
|
639 |
+
{
|
640 |
+
"epoch": 7,
|
641 |
+
"learning_rate": 0.0007021193751273463,
|
642 |
+
"loss": 0.3758,
|
643 |
+
"step": 1900
|
644 |
+
},
|
645 |
+
{
|
646 |
+
"epoch": 7,
|
647 |
+
"eval_loss": 0.37764108180999756,
|
648 |
+
"eval_mae": 0.4621761739253998,
|
649 |
+
"eval_mse": 0.37764135003089905,
|
650 |
+
"eval_r2": 0.45377418641465317,
|
651 |
+
"eval_runtime": 283.3511,
|
652 |
+
"eval_samples_per_second": 2.823,
|
653 |
+
"eval_steps_per_second": 0.706,
|
654 |
+
"step": 1900
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 8,
|
658 |
+
"learning_rate": 0.0006861145890433519,
|
659 |
+
"loss": 0.377,
|
660 |
+
"step": 1950
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 8,
|
664 |
+
"eval_loss": 0.3769887685775757,
|
665 |
+
"eval_mae": 0.46189454197883606,
|
666 |
+
"eval_mse": 0.37698760628700256,
|
667 |
+
"eval_r2": 0.45451653345429155,
|
668 |
+
"eval_runtime": 269.8194,
|
669 |
+
"eval_samples_per_second": 2.965,
|
670 |
+
"eval_steps_per_second": 0.741,
|
671 |
+
"step": 1950
|
672 |
+
},
|
673 |
+
{
|
674 |
+
"epoch": 8,
|
675 |
+
"learning_rate": 0.0006698852517566836,
|
676 |
+
"loss": 0.3761,
|
677 |
+
"step": 2000
|
678 |
+
},
|
679 |
+
{
|
680 |
+
"epoch": 8,
|
681 |
+
"eval_loss": 0.3763187527656555,
|
682 |
+
"eval_mae": 0.4613550901412964,
|
683 |
+
"eval_mse": 0.3763185143470764,
|
684 |
+
"eval_r2": 0.45283548813003005,
|
685 |
+
"eval_runtime": 272.1057,
|
686 |
+
"eval_samples_per_second": 2.94,
|
687 |
+
"eval_steps_per_second": 0.735,
|
688 |
+
"step": 2000
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 8,
|
692 |
+
"learning_rate": 0.0006534509443073072,
|
693 |
+
"loss": 0.3764,
|
694 |
+
"step": 2050
|
695 |
+
},
|
696 |
+
{
|
697 |
+
"epoch": 8,
|
698 |
+
"eval_loss": 0.3749840557575226,
|
699 |
+
"eval_mae": 0.46052685379981995,
|
700 |
+
"eval_mse": 0.37498345971107483,
|
701 |
+
"eval_r2": 0.45454628406748754,
|
702 |
+
"eval_runtime": 277.2032,
|
703 |
+
"eval_samples_per_second": 2.886,
|
704 |
+
"eval_steps_per_second": 0.721,
|
705 |
+
"step": 2050
|
706 |
+
},
|
707 |
+
{
|
708 |
+
"epoch": 8,
|
709 |
+
"learning_rate": 0.0006368314950360416,
|
710 |
+
"loss": 0.3747,
|
711 |
+
"step": 2100
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 8,
|
715 |
+
"eval_loss": 0.37445199489593506,
|
716 |
+
"eval_mae": 0.46010997891426086,
|
717 |
+
"eval_mse": 0.3744511008262634,
|
718 |
+
"eval_r2": 0.4568363191792082,
|
719 |
+
"eval_runtime": 276.9731,
|
720 |
+
"eval_samples_per_second": 2.888,
|
721 |
+
"eval_steps_per_second": 0.722,
|
722 |
+
"step": 2100
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 9,
|
726 |
+
"learning_rate": 0.0006200469556612435,
|
727 |
+
"loss": 0.3754,
|
728 |
+
"step": 2150
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 9,
|
732 |
+
"eval_loss": 0.3743913769721985,
|
733 |
+
"eval_mae": 0.4600675106048584,
|
734 |
+
"eval_mse": 0.3743920922279358,
|
735 |
+
"eval_r2": 0.45744293340515363,
|
736 |
+
"eval_runtime": 281.3782,
|
737 |
+
"eval_samples_per_second": 2.843,
|
738 |
+
"eval_steps_per_second": 0.711,
|
739 |
+
"step": 2150
|
740 |
+
},
|
741 |
+
{
|
742 |
+
"epoch": 9,
|
743 |
+
"learning_rate": 0.0006031175770859848,
|
744 |
+
"loss": 0.3736,
|
745 |
+
"step": 2200
|
746 |
+
},
|
747 |
+
{
|
748 |
+
"epoch": 9,
|
749 |
+
"eval_loss": 0.3738979399204254,
|
750 |
+
"eval_mae": 0.45969095826148987,
|
751 |
+
"eval_mse": 0.37389707565307617,
|
752 |
+
"eval_r2": 0.4581812073615178,
|
753 |
+
"eval_runtime": 270.2281,
|
754 |
+
"eval_samples_per_second": 2.96,
|
755 |
+
"eval_steps_per_second": 0.74,
|
756 |
+
"step": 2200
|
757 |
+
},
|
758 |
+
{
|
759 |
+
"epoch": 9,
|
760 |
+
"learning_rate": 0.0005860637849649073,
|
761 |
+
"loss": 0.3743,
|
762 |
+
"step": 2250
|
763 |
+
},
|
764 |
+
{
|
765 |
+
"epoch": 9,
|
766 |
+
"eval_loss": 0.3741012513637543,
|
767 |
+
"eval_mae": 0.4597731828689575,
|
768 |
+
"eval_mse": 0.37410181760787964,
|
769 |
+
"eval_r2": 0.4575432685303391,
|
770 |
+
"eval_runtime": 278.4971,
|
771 |
+
"eval_samples_per_second": 2.873,
|
772 |
+
"eval_steps_per_second": 0.718,
|
773 |
+
"step": 2250
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 9,
|
777 |
+
"learning_rate": 0.000568906155060237,
|
778 |
+
"loss": 0.3734,
|
779 |
+
"step": 2300
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 9,
|
783 |
+
"eval_loss": 0.37282341718673706,
|
784 |
+
"eval_mae": 0.4590661823749542,
|
785 |
+
"eval_mse": 0.3728235960006714,
|
786 |
+
"eval_r2": 0.457423055516365,
|
787 |
+
"eval_runtime": 279.5267,
|
788 |
+
"eval_samples_per_second": 2.862,
|
789 |
+
"eval_steps_per_second": 0.715,
|
790 |
+
"step": 2300
|
791 |
+
},
|
792 |
+
{
|
793 |
+
"epoch": 9,
|
794 |
+
"learning_rate": 0.0005516653884166902,
|
795 |
+
"loss": 0.371,
|
796 |
+
"step": 2350
|
797 |
+
},
|
798 |
+
{
|
799 |
+
"epoch": 9,
|
800 |
+
"eval_loss": 0.3734956681728363,
|
801 |
+
"eval_mae": 0.45936986804008484,
|
802 |
+
"eval_mse": 0.3734953701496124,
|
803 |
+
"eval_r2": 0.4600796269569801,
|
804 |
+
"eval_runtime": 274.1528,
|
805 |
+
"eval_samples_per_second": 2.918,
|
806 |
+
"eval_steps_per_second": 0.73,
|
807 |
+
"step": 2350
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 10,
|
811 |
+
"learning_rate": 0.0005343622863852232,
|
812 |
+
"loss": 0.3754,
|
813 |
+
"step": 2400
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 10,
|
817 |
+
"eval_loss": 0.3738192021846771,
|
818 |
+
"eval_mae": 0.45952871441841125,
|
819 |
+
"eval_mse": 0.37381842732429504,
|
820 |
+
"eval_r2": 0.4592306947745455,
|
821 |
+
"eval_runtime": 277.5843,
|
822 |
+
"eval_samples_per_second": 2.882,
|
823 |
+
"eval_steps_per_second": 0.721,
|
824 |
+
"step": 2400
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 10,
|
828 |
+
"learning_rate": 0.0005170177255257618,
|
829 |
+
"loss": 0.373,
|
830 |
+
"step": 2450
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 10,
|
834 |
+
"eval_loss": 0.3726402521133423,
|
835 |
+
"eval_mae": 0.4587893486022949,
|
836 |
+
"eval_mse": 0.3726405203342438,
|
837 |
+
"eval_r2": 0.45936278859727786,
|
838 |
+
"eval_runtime": 281.2863,
|
839 |
+
"eval_samples_per_second": 2.844,
|
840 |
+
"eval_steps_per_second": 0.711,
|
841 |
+
"step": 2450
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"epoch": 10,
|
845 |
+
"learning_rate": 0.0004996526324191872,
|
846 |
+
"loss": 0.3717,
|
847 |
+
"step": 2500
|
848 |
+
},
|
849 |
+
{
|
850 |
+
"epoch": 10,
|
851 |
+
"eval_loss": 0.37096771597862244,
|
852 |
+
"eval_mae": 0.45787444710731506,
|
853 |
+
"eval_mse": 0.3709667921066284,
|
854 |
+
"eval_r2": 0.4609350988985167,
|
855 |
+
"eval_runtime": 270.5778,
|
856 |
+
"eval_samples_per_second": 2.957,
|
857 |
+
"eval_steps_per_second": 0.739,
|
858 |
+
"step": 2500
|
859 |
+
},
|
860 |
+
{
|
861 |
+
"epoch": 10,
|
862 |
+
"learning_rate": 0.0004822879584189731,
|
863 |
+
"loss": 0.3727,
|
864 |
+
"step": 2550
|
865 |
+
},
|
866 |
+
{
|
867 |
+
"epoch": 10,
|
868 |
+
"eval_loss": 0.3726476728916168,
|
869 |
+
"eval_mae": 0.4586939215660095,
|
870 |
+
"eval_mse": 0.37264758348464966,
|
871 |
+
"eval_r2": 0.4587349241462606,
|
872 |
+
"eval_runtime": 273.9493,
|
873 |
+
"eval_samples_per_second": 2.92,
|
874 |
+
"eval_steps_per_second": 0.73,
|
875 |
+
"step": 2550
|
876 |
+
},
|
877 |
+
{
|
878 |
+
"epoch": 10,
|
879 |
+
"learning_rate": 0.0004649446543729322,
|
880 |
+
"loss": 0.372,
|
881 |
+
"step": 2600
|
882 |
+
},
|
883 |
+
{
|
884 |
+
"epoch": 10,
|
885 |
+
"eval_loss": 0.37159234285354614,
|
886 |
+
"eval_mae": 0.4583428204059601,
|
887 |
+
"eval_mse": 0.3715912401676178,
|
888 |
+
"eval_r2": 0.4603821208241091,
|
889 |
+
"eval_runtime": 278.26,
|
890 |
+
"eval_samples_per_second": 2.875,
|
891 |
+
"eval_steps_per_second": 0.719,
|
892 |
+
"step": 2600
|
893 |
+
},
|
894 |
+
{
|
895 |
+
"epoch": 11,
|
896 |
+
"learning_rate": 0.0004476436453455742,
|
897 |
+
"loss": 0.3715,
|
898 |
+
"step": 2650
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 11,
|
902 |
+
"eval_loss": 0.3717365562915802,
|
903 |
+
"eval_mae": 0.4582462012767792,
|
904 |
+
"eval_mse": 0.3717361092567444,
|
905 |
+
"eval_r2": 0.45976387138394437,
|
906 |
+
"eval_runtime": 292.146,
|
907 |
+
"eval_samples_per_second": 2.738,
|
908 |
+
"eval_steps_per_second": 0.685,
|
909 |
+
"step": 2650
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 11,
|
913 |
+
"learning_rate": 0.0004304058053715702,
|
914 |
+
"loss": 0.3717,
|
915 |
+
"step": 2700
|
916 |
+
},
|
917 |
+
{
|
918 |
+
"epoch": 11,
|
919 |
+
"eval_loss": 0.3717900216579437,
|
920 |
+
"eval_mae": 0.45822903513908386,
|
921 |
+
"eval_mse": 0.37178927659988403,
|
922 |
+
"eval_r2": 0.45998171303819835,
|
923 |
+
"eval_runtime": 269.82,
|
924 |
+
"eval_samples_per_second": 2.965,
|
925 |
+
"eval_steps_per_second": 0.741,
|
926 |
+
"step": 2700
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 11,
|
930 |
+
"learning_rate": 0.0004132519322707882,
|
931 |
+
"loss": 0.3707,
|
932 |
+
"step": 2750
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 11,
|
936 |
+
"eval_loss": 0.3708600699901581,
|
937 |
+
"eval_mae": 0.45766767859458923,
|
938 |
+
"eval_mse": 0.3708597719669342,
|
939 |
+
"eval_r2": 0.4603013858171726,
|
940 |
+
"eval_runtime": 269.9605,
|
941 |
+
"eval_samples_per_second": 2.963,
|
942 |
+
"eval_steps_per_second": 0.741,
|
943 |
+
"step": 2750
|
944 |
+
},
|
945 |
+
{
|
946 |
+
"epoch": 11,
|
947 |
+
"learning_rate": 0.00039620272255528065,
|
948 |
+
"loss": 0.3739,
|
949 |
+
"step": 2800
|
950 |
+
},
|
951 |
+
{
|
952 |
+
"epoch": 11,
|
953 |
+
"eval_loss": 0.3721630573272705,
|
954 |
+
"eval_mae": 0.4584360122680664,
|
955 |
+
"eval_mse": 0.37216344475746155,
|
956 |
+
"eval_r2": 0.459010225690355,
|
957 |
+
"eval_runtime": 268.3335,
|
958 |
+
"eval_samples_per_second": 2.981,
|
959 |
+
"eval_steps_per_second": 0.745,
|
960 |
+
"step": 2800
|
961 |
+
},
|
962 |
+
{
|
963 |
+
"epoch": 11,
|
964 |
+
"learning_rate": 0.000379278746458504,
|
965 |
+
"loss": 0.3702,
|
966 |
+
"step": 2850
|
967 |
+
},
|
968 |
+
{
|
969 |
+
"epoch": 11,
|
970 |
+
"eval_loss": 0.37071841955184937,
|
971 |
+
"eval_mae": 0.4574899673461914,
|
972 |
+
"eval_mse": 0.3707171678543091,
|
973 |
+
"eval_r2": 0.4613746011063965,
|
974 |
+
"eval_runtime": 279.1852,
|
975 |
+
"eval_samples_per_second": 2.865,
|
976 |
+
"eval_steps_per_second": 0.716,
|
977 |
+
"step": 2850
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 12,
|
981 |
+
"learning_rate": 0.000362500423116895,
|
982 |
+
"loss": 0.3712,
|
983 |
+
"step": 2900
|
984 |
+
},
|
985 |
+
{
|
986 |
+
"epoch": 12,
|
987 |
+
"eval_loss": 0.37087440490722656,
|
988 |
+
"eval_mae": 0.45766788721084595,
|
989 |
+
"eval_mse": 0.37087327241897583,
|
990 |
+
"eval_r2": 0.4618904862700307,
|
991 |
+
"eval_runtime": 292.1987,
|
992 |
+
"eval_samples_per_second": 2.738,
|
993 |
+
"eval_steps_per_second": 0.684,
|
994 |
+
"step": 2900
|
995 |
+
},
|
996 |
+
{
|
997 |
+
"epoch": 12,
|
998 |
+
"learning_rate": 0.0003458879959337494,
|
999 |
+
"loss": 0.3693,
|
1000 |
+
"step": 2950
|
1001 |
+
},
|
1002 |
+
{
|
1003 |
+
"epoch": 12,
|
1004 |
+
"eval_loss": 0.3699745535850525,
|
1005 |
+
"eval_mae": 0.4571460485458374,
|
1006 |
+
"eval_mse": 0.36997491121292114,
|
1007 |
+
"eval_r2": 0.4619671878026411,
|
1008 |
+
"eval_runtime": 273.9573,
|
1009 |
+
"eval_samples_per_second": 2.92,
|
1010 |
+
"eval_steps_per_second": 0.73,
|
1011 |
+
"step": 2950
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 12,
|
1015 |
+
"learning_rate": 0.00032946150815512586,
|
1016 |
+
"loss": 0.3719,
|
1017 |
+
"step": 3000
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 12,
|
1021 |
+
"eval_loss": 0.3705122470855713,
|
1022 |
+
"eval_mae": 0.45748522877693176,
|
1023 |
+
"eval_mse": 0.37051278352737427,
|
1024 |
+
"eval_r2": 0.46142887892760176,
|
1025 |
+
"eval_runtime": 268.3928,
|
1026 |
+
"eval_samples_per_second": 2.981,
|
1027 |
+
"eval_steps_per_second": 0.745,
|
1028 |
+
"step": 3000
|
1029 |
+
},
|
1030 |
+
{
|
1031 |
+
"epoch": 12,
|
1032 |
+
"learning_rate": 0.0003132407786872442,
|
1033 |
+
"loss": 0.3716,
|
1034 |
+
"step": 3050
|
1035 |
+
},
|
1036 |
+
{
|
1037 |
+
"epoch": 12,
|
1038 |
+
"eval_loss": 0.3708195388317108,
|
1039 |
+
"eval_mae": 0.45740067958831787,
|
1040 |
+
"eval_mse": 0.3708195090293884,
|
1041 |
+
"eval_r2": 0.4616999176965736,
|
1042 |
+
"eval_runtime": 273.3209,
|
1043 |
+
"eval_samples_per_second": 2.927,
|
1044 |
+
"eval_steps_per_second": 0.732,
|
1045 |
+
"step": 3050
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 13,
|
1049 |
+
"learning_rate": 0.00029724537818455465,
|
1050 |
+
"loss": 0.3693,
|
1051 |
+
"step": 3100
|
1052 |
+
},
|
1053 |
+
{
|
1054 |
+
"epoch": 13,
|
1055 |
+
"eval_loss": 0.3704887628555298,
|
1056 |
+
"eval_mae": 0.45740318298339844,
|
1057 |
+
"eval_mse": 0.37048864364624023,
|
1058 |
+
"eval_r2": 0.4616717003785853,
|
1059 |
+
"eval_runtime": 273.739,
|
1060 |
+
"eval_samples_per_second": 2.922,
|
1061 |
+
"eval_steps_per_second": 0.731,
|
1062 |
+
"step": 3100
|
1063 |
+
},
|
1064 |
+
{
|
1065 |
+
"epoch": 13,
|
1066 |
+
"learning_rate": 0.00028149460543732666,
|
1067 |
+
"loss": 0.3706,
|
1068 |
+
"step": 3150
|
1069 |
+
},
|
1070 |
+
{
|
1071 |
+
"epoch": 13,
|
1072 |
+
"eval_loss": 0.37004169821739197,
|
1073 |
+
"eval_mae": 0.45711666345596313,
|
1074 |
+
"eval_mse": 0.37004172801971436,
|
1075 |
+
"eval_r2": 0.46274949898335205,
|
1076 |
+
"eval_runtime": 265.1017,
|
1077 |
+
"eval_samples_per_second": 3.018,
|
1078 |
+
"eval_steps_per_second": 0.754,
|
1079 |
+
"step": 3150
|
1080 |
+
},
|
1081 |
+
{
|
1082 |
+
"epoch": 13,
|
1083 |
+
"learning_rate": 0.00026600746408725063,
|
1084 |
+
"loss": 0.3703,
|
1085 |
+
"step": 3200
|
1086 |
+
},
|
1087 |
+
{
|
1088 |
+
"epoch": 13,
|
1089 |
+
"eval_loss": 0.3703955113887787,
|
1090 |
+
"eval_mae": 0.45735496282577515,
|
1091 |
+
"eval_mse": 0.37039563059806824,
|
1092 |
+
"eval_r2": 0.4622188399376109,
|
1093 |
+
"eval_runtime": 287.415,
|
1094 |
+
"eval_samples_per_second": 2.783,
|
1095 |
+
"eval_steps_per_second": 0.696,
|
1096 |
+
"step": 3200
|
1097 |
+
},
|
1098 |
+
{
|
1099 |
+
"epoch": 13,
|
1100 |
+
"learning_rate": 0.000250802639699139,
|
1101 |
+
"loss": 0.3693,
|
1102 |
+
"step": 3250
|
1103 |
+
},
|
1104 |
+
{
|
1105 |
+
"epoch": 13,
|
1106 |
+
"eval_loss": 0.37047404050827026,
|
1107 |
+
"eval_mae": 0.45720237493515015,
|
1108 |
+
"eval_mse": 0.37047335505485535,
|
1109 |
+
"eval_r2": 0.46234450920301984,
|
1110 |
+
"eval_runtime": 265.936,
|
1111 |
+
"eval_samples_per_second": 3.008,
|
1112 |
+
"eval_steps_per_second": 0.752,
|
1113 |
+
"step": 3250
|
1114 |
+
}
|
1115 |
+
],
|
1116 |
+
"max_steps": 4760,
|
1117 |
+
"num_train_epochs": 20,
|
1118 |
+
"total_flos": 0.0,
|
1119 |
+
"trial_name": null,
|
1120 |
+
"trial_params": null
|
1121 |
+
}
|
checkpoint/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a0ea0e252e14911a2d3e2e2b236a6871913290ad9a3dc525b758414542a2e479
|
3 |
+
size 4143
|