Commit
•
65682e2
1
Parent(s):
6608173
Upload folder using huggingface_hub
Browse files- README.md +42 -0
- checkpoint-1245/config.json +51 -0
- checkpoint-1245/model.safetensors +3 -0
- checkpoint-1245/optimizer.pt +3 -0
- checkpoint-1245/rng_state.pth +3 -0
- checkpoint-1245/scheduler.pt +3 -0
- checkpoint-1245/trainer_state.json +509 -0
- checkpoint-1245/training_args.bin +3 -0
- config.json +51 -0
- model.safetensors +3 -0
- preprocessor_config.json +36 -0
- training_args.bin +3 -0
- training_params.json +29 -0
README.md
ADDED
|
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
|
| 2 |
+
---
|
| 3 |
+
tags:
|
| 4 |
+
- autotrain
|
| 5 |
+
- image-classification
|
| 6 |
+
widget:
|
| 7 |
+
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
|
| 8 |
+
example_title: Tiger
|
| 9 |
+
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
|
| 10 |
+
example_title: Teapot
|
| 11 |
+
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
|
| 12 |
+
example_title: Palace
|
| 13 |
+
datasets:
|
| 14 |
+
- xblock-social-screenshots-3/autotrain-data
|
| 15 |
+
---
|
| 16 |
+
|
| 17 |
+
# Model Trained Using AutoTrain
|
| 18 |
+
|
| 19 |
+
- Problem type: Image Classification
|
| 20 |
+
|
| 21 |
+
## Validation Metrics
|
| 22 |
+
loss: 0.7544093132019043
|
| 23 |
+
|
| 24 |
+
f1_macro: 0.34243943617676403
|
| 25 |
+
|
| 26 |
+
f1_micro: 0.7626506024096386
|
| 27 |
+
|
| 28 |
+
f1_weighted: 0.7295452326605777
|
| 29 |
+
|
| 30 |
+
precision_macro: 0.5376629516266399
|
| 31 |
+
|
| 32 |
+
precision_micro: 0.7626506024096386
|
| 33 |
+
|
| 34 |
+
precision_weighted: 0.7581766519951105
|
| 35 |
+
|
| 36 |
+
recall_macro: 0.3164834046818783
|
| 37 |
+
|
| 38 |
+
recall_micro: 0.7626506024096386
|
| 39 |
+
|
| 40 |
+
recall_weighted: 0.7626506024096386
|
| 41 |
+
|
| 42 |
+
accuracy: 0.7626506024096386
|
checkpoint-1245/config.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "google/vit-base-patch16-224",
|
| 3 |
+
"_num_labels": 11,
|
| 4 |
+
"architectures": [
|
| 5 |
+
"ViTForImageClassification"
|
| 6 |
+
],
|
| 7 |
+
"attention_probs_dropout_prob": 0.0,
|
| 8 |
+
"encoder_stride": 16,
|
| 9 |
+
"hidden_act": "gelu",
|
| 10 |
+
"hidden_dropout_prob": 0.0,
|
| 11 |
+
"hidden_size": 768,
|
| 12 |
+
"id2label": {
|
| 13 |
+
"0": "altright",
|
| 14 |
+
"1": "bluesky",
|
| 15 |
+
"2": "facebook",
|
| 16 |
+
"3": "fediverse",
|
| 17 |
+
"4": "instagram",
|
| 18 |
+
"5": "reddit",
|
| 19 |
+
"6": "threads",
|
| 20 |
+
"7": "tumblr",
|
| 21 |
+
"8": "twitter",
|
| 22 |
+
"9": "uncategorised",
|
| 23 |
+
"10": "unrecognised-screenshot"
|
| 24 |
+
},
|
| 25 |
+
"image_size": 224,
|
| 26 |
+
"initializer_range": 0.02,
|
| 27 |
+
"intermediate_size": 3072,
|
| 28 |
+
"label2id": {
|
| 29 |
+
"altright": 0,
|
| 30 |
+
"bluesky": 1,
|
| 31 |
+
"facebook": 2,
|
| 32 |
+
"fediverse": 3,
|
| 33 |
+
"instagram": 4,
|
| 34 |
+
"reddit": 5,
|
| 35 |
+
"threads": 6,
|
| 36 |
+
"tumblr": 7,
|
| 37 |
+
"twitter": 8,
|
| 38 |
+
"uncategorised": 9,
|
| 39 |
+
"unrecognised-screenshot": 10
|
| 40 |
+
},
|
| 41 |
+
"layer_norm_eps": 1e-12,
|
| 42 |
+
"model_type": "vit",
|
| 43 |
+
"num_attention_heads": 12,
|
| 44 |
+
"num_channels": 3,
|
| 45 |
+
"num_hidden_layers": 12,
|
| 46 |
+
"patch_size": 16,
|
| 47 |
+
"problem_type": "single_label_classification",
|
| 48 |
+
"qkv_bias": true,
|
| 49 |
+
"torch_dtype": "float32",
|
| 50 |
+
"transformers_version": "4.39.0"
|
| 51 |
+
}
|
checkpoint-1245/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f33136e913151d459bd50909ea58a4fef05765bb0b689634d66b0b17660e685b
|
| 3 |
+
size 343251660
|
checkpoint-1245/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:51abf52801b3205c54a897f04839afd435947f03070a5f0e62780a33a8d185ec
|
| 3 |
+
size 686624186
|
checkpoint-1245/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e7a935838d4458f13902cbfd7d67a47f63b37d1dd431141b42348cfd0572d11f
|
| 3 |
+
size 14180
|
checkpoint-1245/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8053f02486458a4c1aadfa3431194041e8e9faa02de6e3001ea4eaf37217ba69
|
| 3 |
+
size 1064
|
checkpoint-1245/trainer_state.json
ADDED
|
@@ -0,0 +1,509 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.7544093132019043,
|
| 3 |
+
"best_model_checkpoint": "xblock-social-screenshots-3/checkpoint-1245",
|
| 4 |
+
"epoch": 3.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 1245,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.05,
|
| 13 |
+
"grad_norm": 13.465712547302246,
|
| 14 |
+
"learning_rate": 7.2e-06,
|
| 15 |
+
"loss": 2.4572,
|
| 16 |
+
"step": 20
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.1,
|
| 20 |
+
"grad_norm": 9.6524076461792,
|
| 21 |
+
"learning_rate": 1.52e-05,
|
| 22 |
+
"loss": 2.079,
|
| 23 |
+
"step": 40
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.14,
|
| 27 |
+
"grad_norm": 9.261948585510254,
|
| 28 |
+
"learning_rate": 2.32e-05,
|
| 29 |
+
"loss": 1.7089,
|
| 30 |
+
"step": 60
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.19,
|
| 34 |
+
"grad_norm": 9.193083763122559,
|
| 35 |
+
"learning_rate": 3.12e-05,
|
| 36 |
+
"loss": 1.4402,
|
| 37 |
+
"step": 80
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.24,
|
| 41 |
+
"grad_norm": 7.320693492889404,
|
| 42 |
+
"learning_rate": 3.9200000000000004e-05,
|
| 43 |
+
"loss": 1.407,
|
| 44 |
+
"step": 100
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.29,
|
| 48 |
+
"grad_norm": 7.089232444763184,
|
| 49 |
+
"learning_rate": 4.72e-05,
|
| 50 |
+
"loss": 1.2287,
|
| 51 |
+
"step": 120
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.34,
|
| 55 |
+
"grad_norm": 9.907115936279297,
|
| 56 |
+
"learning_rate": 4.941964285714286e-05,
|
| 57 |
+
"loss": 1.2205,
|
| 58 |
+
"step": 140
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.39,
|
| 62 |
+
"grad_norm": 6.660067081451416,
|
| 63 |
+
"learning_rate": 4.852678571428572e-05,
|
| 64 |
+
"loss": 1.0867,
|
| 65 |
+
"step": 160
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.43,
|
| 69 |
+
"grad_norm": 8.426629066467285,
|
| 70 |
+
"learning_rate": 4.7633928571428573e-05,
|
| 71 |
+
"loss": 1.097,
|
| 72 |
+
"step": 180
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.48,
|
| 76 |
+
"grad_norm": 9.229801177978516,
|
| 77 |
+
"learning_rate": 4.674107142857143e-05,
|
| 78 |
+
"loss": 1.4158,
|
| 79 |
+
"step": 200
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.53,
|
| 83 |
+
"grad_norm": 6.415766716003418,
|
| 84 |
+
"learning_rate": 4.584821428571429e-05,
|
| 85 |
+
"loss": 1.2353,
|
| 86 |
+
"step": 220
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.58,
|
| 90 |
+
"grad_norm": 9.118013381958008,
|
| 91 |
+
"learning_rate": 4.4955357142857144e-05,
|
| 92 |
+
"loss": 1.0926,
|
| 93 |
+
"step": 240
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.63,
|
| 97 |
+
"grad_norm": 8.883289337158203,
|
| 98 |
+
"learning_rate": 4.40625e-05,
|
| 99 |
+
"loss": 1.1642,
|
| 100 |
+
"step": 260
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.67,
|
| 104 |
+
"grad_norm": 6.868738651275635,
|
| 105 |
+
"learning_rate": 4.3169642857142864e-05,
|
| 106 |
+
"loss": 1.0041,
|
| 107 |
+
"step": 280
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.72,
|
| 111 |
+
"grad_norm": 2.424619436264038,
|
| 112 |
+
"learning_rate": 4.2276785714285714e-05,
|
| 113 |
+
"loss": 1.1074,
|
| 114 |
+
"step": 300
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.77,
|
| 118 |
+
"grad_norm": 10.195758819580078,
|
| 119 |
+
"learning_rate": 4.138392857142857e-05,
|
| 120 |
+
"loss": 0.8968,
|
| 121 |
+
"step": 320
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.82,
|
| 125 |
+
"grad_norm": 8.857401847839355,
|
| 126 |
+
"learning_rate": 4.0491071428571434e-05,
|
| 127 |
+
"loss": 1.2484,
|
| 128 |
+
"step": 340
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.87,
|
| 132 |
+
"grad_norm": 7.8076605796813965,
|
| 133 |
+
"learning_rate": 3.9598214285714284e-05,
|
| 134 |
+
"loss": 0.998,
|
| 135 |
+
"step": 360
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.92,
|
| 139 |
+
"grad_norm": 6.418033599853516,
|
| 140 |
+
"learning_rate": 3.870535714285715e-05,
|
| 141 |
+
"loss": 0.9212,
|
| 142 |
+
"step": 380
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.96,
|
| 146 |
+
"grad_norm": 7.953289985656738,
|
| 147 |
+
"learning_rate": 3.78125e-05,
|
| 148 |
+
"loss": 1.1387,
|
| 149 |
+
"step": 400
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 1.0,
|
| 153 |
+
"eval_accuracy": 0.7156626506024096,
|
| 154 |
+
"eval_f1_macro": 0.24337876592111682,
|
| 155 |
+
"eval_f1_micro": 0.7156626506024096,
|
| 156 |
+
"eval_f1_weighted": 0.6701704805513728,
|
| 157 |
+
"eval_loss": 0.9069176912307739,
|
| 158 |
+
"eval_precision_macro": 0.28735578588970384,
|
| 159 |
+
"eval_precision_micro": 0.7156626506024096,
|
| 160 |
+
"eval_precision_weighted": 0.6398455360285946,
|
| 161 |
+
"eval_recall_macro": 0.2455658658820232,
|
| 162 |
+
"eval_recall_micro": 0.7156626506024096,
|
| 163 |
+
"eval_recall_weighted": 0.7156626506024096,
|
| 164 |
+
"eval_runtime": 32.7637,
|
| 165 |
+
"eval_samples_per_second": 25.333,
|
| 166 |
+
"eval_steps_per_second": 1.587,
|
| 167 |
+
"step": 415
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"epoch": 1.01,
|
| 171 |
+
"grad_norm": 10.716949462890625,
|
| 172 |
+
"learning_rate": 3.691964285714286e-05,
|
| 173 |
+
"loss": 0.974,
|
| 174 |
+
"step": 420
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 1.06,
|
| 178 |
+
"grad_norm": 6.424170970916748,
|
| 179 |
+
"learning_rate": 3.602678571428572e-05,
|
| 180 |
+
"loss": 0.9156,
|
| 181 |
+
"step": 440
|
| 182 |
+
},
|
| 183 |
+
{
|
| 184 |
+
"epoch": 1.11,
|
| 185 |
+
"grad_norm": 5.7230000495910645,
|
| 186 |
+
"learning_rate": 3.513392857142857e-05,
|
| 187 |
+
"loss": 1.0882,
|
| 188 |
+
"step": 460
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 1.16,
|
| 192 |
+
"grad_norm": 6.781800746917725,
|
| 193 |
+
"learning_rate": 3.424107142857143e-05,
|
| 194 |
+
"loss": 0.8575,
|
| 195 |
+
"step": 480
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 1.2,
|
| 199 |
+
"grad_norm": 7.278835296630859,
|
| 200 |
+
"learning_rate": 3.334821428571429e-05,
|
| 201 |
+
"loss": 0.8842,
|
| 202 |
+
"step": 500
|
| 203 |
+
},
|
| 204 |
+
{
|
| 205 |
+
"epoch": 1.25,
|
| 206 |
+
"grad_norm": 8.899985313415527,
|
| 207 |
+
"learning_rate": 3.2455357142857145e-05,
|
| 208 |
+
"loss": 1.0324,
|
| 209 |
+
"step": 520
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 1.3,
|
| 213 |
+
"grad_norm": 10.547853469848633,
|
| 214 |
+
"learning_rate": 3.15625e-05,
|
| 215 |
+
"loss": 0.9993,
|
| 216 |
+
"step": 540
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"epoch": 1.35,
|
| 220 |
+
"grad_norm": 5.870782852172852,
|
| 221 |
+
"learning_rate": 3.066964285714286e-05,
|
| 222 |
+
"loss": 1.0766,
|
| 223 |
+
"step": 560
|
| 224 |
+
},
|
| 225 |
+
{
|
| 226 |
+
"epoch": 1.4,
|
| 227 |
+
"grad_norm": 7.413377285003662,
|
| 228 |
+
"learning_rate": 2.9776785714285715e-05,
|
| 229 |
+
"loss": 0.8224,
|
| 230 |
+
"step": 580
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 1.45,
|
| 234 |
+
"grad_norm": 8.232254981994629,
|
| 235 |
+
"learning_rate": 2.888392857142857e-05,
|
| 236 |
+
"loss": 0.8699,
|
| 237 |
+
"step": 600
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"epoch": 1.49,
|
| 241 |
+
"grad_norm": 7.721341609954834,
|
| 242 |
+
"learning_rate": 2.7991071428571432e-05,
|
| 243 |
+
"loss": 1.0413,
|
| 244 |
+
"step": 620
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"epoch": 1.54,
|
| 248 |
+
"grad_norm": 10.697331428527832,
|
| 249 |
+
"learning_rate": 2.7098214285714285e-05,
|
| 250 |
+
"loss": 0.995,
|
| 251 |
+
"step": 640
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 1.59,
|
| 255 |
+
"grad_norm": 5.213534355163574,
|
| 256 |
+
"learning_rate": 2.6205357142857145e-05,
|
| 257 |
+
"loss": 1.1162,
|
| 258 |
+
"step": 660
|
| 259 |
+
},
|
| 260 |
+
{
|
| 261 |
+
"epoch": 1.64,
|
| 262 |
+
"grad_norm": 4.949966907501221,
|
| 263 |
+
"learning_rate": 2.53125e-05,
|
| 264 |
+
"loss": 0.7447,
|
| 265 |
+
"step": 680
|
| 266 |
+
},
|
| 267 |
+
{
|
| 268 |
+
"epoch": 1.69,
|
| 269 |
+
"grad_norm": 8.088377952575684,
|
| 270 |
+
"learning_rate": 2.441964285714286e-05,
|
| 271 |
+
"loss": 0.7466,
|
| 272 |
+
"step": 700
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 1.73,
|
| 276 |
+
"grad_norm": 6.961575984954834,
|
| 277 |
+
"learning_rate": 2.3526785714285715e-05,
|
| 278 |
+
"loss": 0.8619,
|
| 279 |
+
"step": 720
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 1.78,
|
| 283 |
+
"grad_norm": 12.139084815979004,
|
| 284 |
+
"learning_rate": 2.2633928571428572e-05,
|
| 285 |
+
"loss": 0.6702,
|
| 286 |
+
"step": 740
|
| 287 |
+
},
|
| 288 |
+
{
|
| 289 |
+
"epoch": 1.83,
|
| 290 |
+
"grad_norm": 4.518425941467285,
|
| 291 |
+
"learning_rate": 2.174107142857143e-05,
|
| 292 |
+
"loss": 0.8649,
|
| 293 |
+
"step": 760
|
| 294 |
+
},
|
| 295 |
+
{
|
| 296 |
+
"epoch": 1.88,
|
| 297 |
+
"grad_norm": 7.617171764373779,
|
| 298 |
+
"learning_rate": 2.084821428571429e-05,
|
| 299 |
+
"loss": 0.7682,
|
| 300 |
+
"step": 780
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"epoch": 1.93,
|
| 304 |
+
"grad_norm": 9.569235801696777,
|
| 305 |
+
"learning_rate": 1.9955357142857146e-05,
|
| 306 |
+
"loss": 0.9026,
|
| 307 |
+
"step": 800
|
| 308 |
+
},
|
| 309 |
+
{
|
| 310 |
+
"epoch": 1.98,
|
| 311 |
+
"grad_norm": 8.944718360900879,
|
| 312 |
+
"learning_rate": 1.90625e-05,
|
| 313 |
+
"loss": 0.8327,
|
| 314 |
+
"step": 820
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 2.0,
|
| 318 |
+
"eval_accuracy": 0.744578313253012,
|
| 319 |
+
"eval_f1_macro": 0.328500713177248,
|
| 320 |
+
"eval_f1_micro": 0.744578313253012,
|
| 321 |
+
"eval_f1_weighted": 0.7121093039405768,
|
| 322 |
+
"eval_loss": 0.7984326481819153,
|
| 323 |
+
"eval_precision_macro": 0.4303939410339066,
|
| 324 |
+
"eval_precision_micro": 0.744578313253012,
|
| 325 |
+
"eval_precision_weighted": 0.7177621227889628,
|
| 326 |
+
"eval_recall_macro": 0.30809268775929033,
|
| 327 |
+
"eval_recall_micro": 0.744578313253012,
|
| 328 |
+
"eval_recall_weighted": 0.744578313253012,
|
| 329 |
+
"eval_runtime": 30.47,
|
| 330 |
+
"eval_samples_per_second": 27.24,
|
| 331 |
+
"eval_steps_per_second": 1.707,
|
| 332 |
+
"step": 830
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 2.02,
|
| 336 |
+
"grad_norm": 6.886695861816406,
|
| 337 |
+
"learning_rate": 1.8169642857142856e-05,
|
| 338 |
+
"loss": 0.8599,
|
| 339 |
+
"step": 840
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 2.07,
|
| 343 |
+
"grad_norm": 3.803279399871826,
|
| 344 |
+
"learning_rate": 1.7276785714285716e-05,
|
| 345 |
+
"loss": 0.7697,
|
| 346 |
+
"step": 860
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 2.12,
|
| 350 |
+
"grad_norm": 8.693037033081055,
|
| 351 |
+
"learning_rate": 1.6383928571428573e-05,
|
| 352 |
+
"loss": 0.7916,
|
| 353 |
+
"step": 880
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 2.17,
|
| 357 |
+
"grad_norm": 10.645078659057617,
|
| 358 |
+
"learning_rate": 1.549107142857143e-05,
|
| 359 |
+
"loss": 0.6787,
|
| 360 |
+
"step": 900
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 2.22,
|
| 364 |
+
"grad_norm": 6.220460414886475,
|
| 365 |
+
"learning_rate": 1.4598214285714288e-05,
|
| 366 |
+
"loss": 0.7976,
|
| 367 |
+
"step": 920
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 2.27,
|
| 371 |
+
"grad_norm": 10.7758150100708,
|
| 372 |
+
"learning_rate": 1.3705357142857145e-05,
|
| 373 |
+
"loss": 0.6825,
|
| 374 |
+
"step": 940
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 2.31,
|
| 378 |
+
"grad_norm": 11.92375373840332,
|
| 379 |
+
"learning_rate": 1.28125e-05,
|
| 380 |
+
"loss": 0.853,
|
| 381 |
+
"step": 960
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 2.36,
|
| 385 |
+
"grad_norm": 8.55823040008545,
|
| 386 |
+
"learning_rate": 1.1919642857142858e-05,
|
| 387 |
+
"loss": 0.7647,
|
| 388 |
+
"step": 980
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 2.41,
|
| 392 |
+
"grad_norm": 10.385089874267578,
|
| 393 |
+
"learning_rate": 1.1026785714285715e-05,
|
| 394 |
+
"loss": 0.7351,
|
| 395 |
+
"step": 1000
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 2.46,
|
| 399 |
+
"grad_norm": 6.002354621887207,
|
| 400 |
+
"learning_rate": 1.0133928571428572e-05,
|
| 401 |
+
"loss": 0.8779,
|
| 402 |
+
"step": 1020
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 2.51,
|
| 406 |
+
"grad_norm": 7.847404956817627,
|
| 407 |
+
"learning_rate": 9.24107142857143e-06,
|
| 408 |
+
"loss": 0.7776,
|
| 409 |
+
"step": 1040
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 2.55,
|
| 413 |
+
"grad_norm": 5.796429634094238,
|
| 414 |
+
"learning_rate": 8.348214285714285e-06,
|
| 415 |
+
"loss": 0.743,
|
| 416 |
+
"step": 1060
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 2.6,
|
| 420 |
+
"grad_norm": 8.282535552978516,
|
| 421 |
+
"learning_rate": 7.455357142857143e-06,
|
| 422 |
+
"loss": 0.8694,
|
| 423 |
+
"step": 1080
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 2.65,
|
| 427 |
+
"grad_norm": 9.527463912963867,
|
| 428 |
+
"learning_rate": 6.5625e-06,
|
| 429 |
+
"loss": 0.7111,
|
| 430 |
+
"step": 1100
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 2.7,
|
| 434 |
+
"grad_norm": 7.947423458099365,
|
| 435 |
+
"learning_rate": 5.669642857142857e-06,
|
| 436 |
+
"loss": 0.9326,
|
| 437 |
+
"step": 1120
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 2.75,
|
| 441 |
+
"grad_norm": 8.990558624267578,
|
| 442 |
+
"learning_rate": 4.776785714285715e-06,
|
| 443 |
+
"loss": 0.7542,
|
| 444 |
+
"step": 1140
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 2.8,
|
| 448 |
+
"grad_norm": 8.609009742736816,
|
| 449 |
+
"learning_rate": 3.883928571428571e-06,
|
| 450 |
+
"loss": 0.7247,
|
| 451 |
+
"step": 1160
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 2.84,
|
| 455 |
+
"grad_norm": 3.701921224594116,
|
| 456 |
+
"learning_rate": 2.991071428571429e-06,
|
| 457 |
+
"loss": 0.6855,
|
| 458 |
+
"step": 1180
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 2.89,
|
| 462 |
+
"grad_norm": 6.839054584503174,
|
| 463 |
+
"learning_rate": 2.0982142857142857e-06,
|
| 464 |
+
"loss": 0.7191,
|
| 465 |
+
"step": 1200
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 2.94,
|
| 469 |
+
"grad_norm": 5.237525939941406,
|
| 470 |
+
"learning_rate": 1.205357142857143e-06,
|
| 471 |
+
"loss": 0.592,
|
| 472 |
+
"step": 1220
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 2.99,
|
| 476 |
+
"grad_norm": 6.806934356689453,
|
| 477 |
+
"learning_rate": 3.5714285714285716e-07,
|
| 478 |
+
"loss": 0.7655,
|
| 479 |
+
"step": 1240
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 3.0,
|
| 483 |
+
"eval_accuracy": 0.7626506024096386,
|
| 484 |
+
"eval_f1_macro": 0.34243943617676403,
|
| 485 |
+
"eval_f1_micro": 0.7626506024096386,
|
| 486 |
+
"eval_f1_weighted": 0.7295452326605777,
|
| 487 |
+
"eval_loss": 0.7544093132019043,
|
| 488 |
+
"eval_precision_macro": 0.5376629516266399,
|
| 489 |
+
"eval_precision_micro": 0.7626506024096386,
|
| 490 |
+
"eval_precision_weighted": 0.7581766519951105,
|
| 491 |
+
"eval_recall_macro": 0.3164834046818783,
|
| 492 |
+
"eval_recall_micro": 0.7626506024096386,
|
| 493 |
+
"eval_recall_weighted": 0.7626506024096386,
|
| 494 |
+
"eval_runtime": 30.5059,
|
| 495 |
+
"eval_samples_per_second": 27.208,
|
| 496 |
+
"eval_steps_per_second": 1.705,
|
| 497 |
+
"step": 1245
|
| 498 |
+
}
|
| 499 |
+
],
|
| 500 |
+
"logging_steps": 20,
|
| 501 |
+
"max_steps": 1245,
|
| 502 |
+
"num_input_tokens_seen": 0,
|
| 503 |
+
"num_train_epochs": 3,
|
| 504 |
+
"save_steps": 500,
|
| 505 |
+
"total_flos": 7.702550117363405e+17,
|
| 506 |
+
"train_batch_size": 8,
|
| 507 |
+
"trial_name": null,
|
| 508 |
+
"trial_params": null
|
| 509 |
+
}
|
checkpoint-1245/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0e05c6f2d7952d1f3b0c85c8ffecdcd376054441e457e1118f846ae556de4bf0
|
| 3 |
+
size 4920
|
config.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "google/vit-base-patch16-224",
|
| 3 |
+
"_num_labels": 11,
|
| 4 |
+
"architectures": [
|
| 5 |
+
"ViTForImageClassification"
|
| 6 |
+
],
|
| 7 |
+
"attention_probs_dropout_prob": 0.0,
|
| 8 |
+
"encoder_stride": 16,
|
| 9 |
+
"hidden_act": "gelu",
|
| 10 |
+
"hidden_dropout_prob": 0.0,
|
| 11 |
+
"hidden_size": 768,
|
| 12 |
+
"id2label": {
|
| 13 |
+
"0": "altright",
|
| 14 |
+
"1": "bluesky",
|
| 15 |
+
"2": "facebook",
|
| 16 |
+
"3": "fediverse",
|
| 17 |
+
"4": "instagram",
|
| 18 |
+
"5": "reddit",
|
| 19 |
+
"6": "threads",
|
| 20 |
+
"7": "tumblr",
|
| 21 |
+
"8": "twitter",
|
| 22 |
+
"9": "uncategorised",
|
| 23 |
+
"10": "unrecognised-screenshot"
|
| 24 |
+
},
|
| 25 |
+
"image_size": 224,
|
| 26 |
+
"initializer_range": 0.02,
|
| 27 |
+
"intermediate_size": 3072,
|
| 28 |
+
"label2id": {
|
| 29 |
+
"altright": 0,
|
| 30 |
+
"bluesky": 1,
|
| 31 |
+
"facebook": 2,
|
| 32 |
+
"fediverse": 3,
|
| 33 |
+
"instagram": 4,
|
| 34 |
+
"reddit": 5,
|
| 35 |
+
"threads": 6,
|
| 36 |
+
"tumblr": 7,
|
| 37 |
+
"twitter": 8,
|
| 38 |
+
"uncategorised": 9,
|
| 39 |
+
"unrecognised-screenshot": 10
|
| 40 |
+
},
|
| 41 |
+
"layer_norm_eps": 1e-12,
|
| 42 |
+
"model_type": "vit",
|
| 43 |
+
"num_attention_heads": 12,
|
| 44 |
+
"num_channels": 3,
|
| 45 |
+
"num_hidden_layers": 12,
|
| 46 |
+
"patch_size": 16,
|
| 47 |
+
"problem_type": "single_label_classification",
|
| 48 |
+
"qkv_bias": true,
|
| 49 |
+
"torch_dtype": "float32",
|
| 50 |
+
"transformers_version": "4.39.0"
|
| 51 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f33136e913151d459bd50909ea58a4fef05765bb0b689634d66b0b17660e685b
|
| 3 |
+
size 343251660
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_valid_processor_keys": [
|
| 3 |
+
"images",
|
| 4 |
+
"do_resize",
|
| 5 |
+
"size",
|
| 6 |
+
"resample",
|
| 7 |
+
"do_rescale",
|
| 8 |
+
"rescale_factor",
|
| 9 |
+
"do_normalize",
|
| 10 |
+
"image_mean",
|
| 11 |
+
"image_std",
|
| 12 |
+
"return_tensors",
|
| 13 |
+
"data_format",
|
| 14 |
+
"input_data_format"
|
| 15 |
+
],
|
| 16 |
+
"do_normalize": true,
|
| 17 |
+
"do_rescale": true,
|
| 18 |
+
"do_resize": true,
|
| 19 |
+
"image_mean": [
|
| 20 |
+
0.5,
|
| 21 |
+
0.5,
|
| 22 |
+
0.5
|
| 23 |
+
],
|
| 24 |
+
"image_processor_type": "ViTImageProcessor",
|
| 25 |
+
"image_std": [
|
| 26 |
+
0.5,
|
| 27 |
+
0.5,
|
| 28 |
+
0.5
|
| 29 |
+
],
|
| 30 |
+
"resample": 2,
|
| 31 |
+
"rescale_factor": 0.00392156862745098,
|
| 32 |
+
"size": {
|
| 33 |
+
"height": 224,
|
| 34 |
+
"width": 224
|
| 35 |
+
}
|
| 36 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0e05c6f2d7952d1f3b0c85c8ffecdcd376054441e457e1118f846ae556de4bf0
|
| 3 |
+
size 4920
|
training_params.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"data_path": "xblock-social-screenshots-3/autotrain-data",
|
| 3 |
+
"model": "google/vit-base-patch16-224",
|
| 4 |
+
"username": "howdyaendra",
|
| 5 |
+
"lr": 5e-05,
|
| 6 |
+
"epochs": 3,
|
| 7 |
+
"batch_size": 8,
|
| 8 |
+
"warmup_ratio": 0.1,
|
| 9 |
+
"gradient_accumulation": 1,
|
| 10 |
+
"optimizer": "adamw_torch",
|
| 11 |
+
"scheduler": "linear",
|
| 12 |
+
"weight_decay": 0.0,
|
| 13 |
+
"max_grad_norm": 1.0,
|
| 14 |
+
"seed": 42,
|
| 15 |
+
"train_split": "train",
|
| 16 |
+
"valid_split": "validation",
|
| 17 |
+
"logging_steps": -1,
|
| 18 |
+
"project_name": "xblock-social-screenshots-3",
|
| 19 |
+
"auto_find_batch_size": false,
|
| 20 |
+
"mixed_precision": "fp16",
|
| 21 |
+
"save_total_limit": 1,
|
| 22 |
+
"save_strategy": "epoch",
|
| 23 |
+
"push_to_hub": true,
|
| 24 |
+
"repo_id": "howdyaendra/xblock-social-screenshots-3",
|
| 25 |
+
"evaluation_strategy": "epoch",
|
| 26 |
+
"image_column": "autotrain_image",
|
| 27 |
+
"target_column": "autotrain_label",
|
| 28 |
+
"log": "none"
|
| 29 |
+
}
|