Commit
•
b5fe56e
1
Parent(s):
b92faf8
Upload folder using huggingface_hub
Browse files- README.md +42 -0
- checkpoint-5181/config.json +51 -0
- checkpoint-5181/model.safetensors +3 -0
- checkpoint-5181/optimizer.pt +3 -0
- checkpoint-5181/rng_state.pth +3 -0
- checkpoint-5181/scheduler.pt +3 -0
- checkpoint-5181/trainer_state.json +1524 -0
- checkpoint-5181/training_args.bin +3 -0
- config.json +51 -0
- model.safetensors +3 -0
- preprocessor_config.json +36 -0
- runs/Apr15_18-44-28_496e75b93dc4/events.out.tfevents.1713206669.496e75b93dc4.24181.0 +2 -2
- runs/Apr15_18-44-28_496e75b93dc4/events.out.tfevents.1713286725.496e75b93dc4.24181.1 +3 -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-large-patch2-224/autotrain-data
|
| 15 |
+
---
|
| 16 |
+
|
| 17 |
+
# Model Trained Using AutoTrain
|
| 18 |
+
|
| 19 |
+
- Problem type: Image Classification
|
| 20 |
+
|
| 21 |
+
## Validation Metrics
|
| 22 |
+
loss: 0.4315283000469208
|
| 23 |
+
|
| 24 |
+
f1_macro: 0.6149830093941424
|
| 25 |
+
|
| 26 |
+
f1_micro: 0.8602430555555556
|
| 27 |
+
|
| 28 |
+
f1_weighted: 0.8515059109185544
|
| 29 |
+
|
| 30 |
+
precision_macro: 0.7610988679415244
|
| 31 |
+
|
| 32 |
+
precision_micro: 0.8602430555555556
|
| 33 |
+
|
| 34 |
+
precision_weighted: 0.8532444856848228
|
| 35 |
+
|
| 36 |
+
recall_macro: 0.5527145295483504
|
| 37 |
+
|
| 38 |
+
recall_micro: 0.8602430555555556
|
| 39 |
+
|
| 40 |
+
recall_weighted: 0.8602430555555556
|
| 41 |
+
|
| 42 |
+
accuracy: 0.8602430555555556
|
checkpoint-5181/config.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "google/vit-large-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": 1024,
|
| 12 |
+
"id2label": {
|
| 13 |
+
"0": "altright",
|
| 14 |
+
"1": "bluesky",
|
| 15 |
+
"2": "facebook",
|
| 16 |
+
"3": "fediverse",
|
| 17 |
+
"4": "instagram",
|
| 18 |
+
"5": "irrelevant",
|
| 19 |
+
"6": "ngl",
|
| 20 |
+
"7": "reddit",
|
| 21 |
+
"8": "threads",
|
| 22 |
+
"9": "tumblr",
|
| 23 |
+
"10": "twitter"
|
| 24 |
+
},
|
| 25 |
+
"image_size": 224,
|
| 26 |
+
"initializer_range": 0.02,
|
| 27 |
+
"intermediate_size": 4096,
|
| 28 |
+
"label2id": {
|
| 29 |
+
"altright": 0,
|
| 30 |
+
"bluesky": 1,
|
| 31 |
+
"facebook": 2,
|
| 32 |
+
"fediverse": 3,
|
| 33 |
+
"instagram": 4,
|
| 34 |
+
"irrelevant": 5,
|
| 35 |
+
"ngl": 6,
|
| 36 |
+
"reddit": 7,
|
| 37 |
+
"threads": 8,
|
| 38 |
+
"tumblr": 9,
|
| 39 |
+
"twitter": 10
|
| 40 |
+
},
|
| 41 |
+
"layer_norm_eps": 1e-12,
|
| 42 |
+
"model_type": "vit",
|
| 43 |
+
"num_attention_heads": 16,
|
| 44 |
+
"num_channels": 3,
|
| 45 |
+
"num_hidden_layers": 24,
|
| 46 |
+
"patch_size": 16,
|
| 47 |
+
"problem_type": "single_label_classification",
|
| 48 |
+
"qkv_bias": true,
|
| 49 |
+
"torch_dtype": "float32",
|
| 50 |
+
"transformers_version": "4.39.3"
|
| 51 |
+
}
|
checkpoint-5181/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eb13c4b35ce597cb88a875a80db2847e13688ae876bf69bd6a658d707c9e1ca5
|
| 3 |
+
size 1213298172
|
checkpoint-5181/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bf6eda18a5094cea7273c05e2ccbac4d4efa7262fed33056a67c947675cbbdc3
|
| 3 |
+
size 2426831274
|
checkpoint-5181/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:407c90e72710d8833691a0b520011b7262e79723b1f909d7c1ef5c77a957f5ae
|
| 3 |
+
size 14244
|
checkpoint-5181/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:324fb18a51d85774ee66fbd2bc26b3ad6a7ee26f4e17cc706b54f6f9f7e49409
|
| 3 |
+
size 1064
|
checkpoint-5181/trainer_state.json
ADDED
|
@@ -0,0 +1,1524 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.4315283000469208,
|
| 3 |
+
"best_model_checkpoint": "xblock-large-patch2-224/checkpoint-5181",
|
| 4 |
+
"epoch": 3.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 5181,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.01,
|
| 13 |
+
"grad_norm": 19.092004776000977,
|
| 14 |
+
"learning_rate": 2.2157996146435453e-06,
|
| 15 |
+
"loss": 2.5421,
|
| 16 |
+
"step": 25
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.03,
|
| 20 |
+
"grad_norm": 11.274575233459473,
|
| 21 |
+
"learning_rate": 4.624277456647399e-06,
|
| 22 |
+
"loss": 1.9399,
|
| 23 |
+
"step": 50
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.04,
|
| 27 |
+
"grad_norm": 10.260701179504395,
|
| 28 |
+
"learning_rate": 7.032755298651253e-06,
|
| 29 |
+
"loss": 1.5011,
|
| 30 |
+
"step": 75
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.06,
|
| 34 |
+
"grad_norm": 9.719381332397461,
|
| 35 |
+
"learning_rate": 9.441233140655107e-06,
|
| 36 |
+
"loss": 1.3912,
|
| 37 |
+
"step": 100
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.07,
|
| 41 |
+
"grad_norm": 10.234914779663086,
|
| 42 |
+
"learning_rate": 1.184971098265896e-05,
|
| 43 |
+
"loss": 1.2166,
|
| 44 |
+
"step": 125
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.09,
|
| 48 |
+
"grad_norm": 13.722230911254883,
|
| 49 |
+
"learning_rate": 1.4258188824662813e-05,
|
| 50 |
+
"loss": 1.1751,
|
| 51 |
+
"step": 150
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.1,
|
| 55 |
+
"grad_norm": 17.890995025634766,
|
| 56 |
+
"learning_rate": 1.6666666666666667e-05,
|
| 57 |
+
"loss": 1.1862,
|
| 58 |
+
"step": 175
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.12,
|
| 62 |
+
"grad_norm": 13.72986125946045,
|
| 63 |
+
"learning_rate": 1.907514450867052e-05,
|
| 64 |
+
"loss": 0.8828,
|
| 65 |
+
"step": 200
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.13,
|
| 69 |
+
"grad_norm": 12.903642654418945,
|
| 70 |
+
"learning_rate": 2.1483622350674377e-05,
|
| 71 |
+
"loss": 0.9541,
|
| 72 |
+
"step": 225
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.14,
|
| 76 |
+
"grad_norm": 8.937955856323242,
|
| 77 |
+
"learning_rate": 2.3892100192678228e-05,
|
| 78 |
+
"loss": 0.9032,
|
| 79 |
+
"step": 250
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.16,
|
| 83 |
+
"grad_norm": 10.743949890136719,
|
| 84 |
+
"learning_rate": 2.6300578034682083e-05,
|
| 85 |
+
"loss": 1.0891,
|
| 86 |
+
"step": 275
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.17,
|
| 90 |
+
"grad_norm": 9.766569137573242,
|
| 91 |
+
"learning_rate": 2.8709055876685937e-05,
|
| 92 |
+
"loss": 0.8951,
|
| 93 |
+
"step": 300
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.19,
|
| 97 |
+
"grad_norm": 10.973127365112305,
|
| 98 |
+
"learning_rate": 3.111753371868979e-05,
|
| 99 |
+
"loss": 1.0709,
|
| 100 |
+
"step": 325
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.2,
|
| 104 |
+
"grad_norm": 13.805391311645508,
|
| 105 |
+
"learning_rate": 3.352601156069364e-05,
|
| 106 |
+
"loss": 1.1141,
|
| 107 |
+
"step": 350
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.22,
|
| 111 |
+
"grad_norm": 7.355842113494873,
|
| 112 |
+
"learning_rate": 3.59344894026975e-05,
|
| 113 |
+
"loss": 1.0031,
|
| 114 |
+
"step": 375
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.23,
|
| 118 |
+
"grad_norm": 10.688377380371094,
|
| 119 |
+
"learning_rate": 3.834296724470135e-05,
|
| 120 |
+
"loss": 1.0344,
|
| 121 |
+
"step": 400
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.25,
|
| 125 |
+
"grad_norm": 8.896137237548828,
|
| 126 |
+
"learning_rate": 4.07514450867052e-05,
|
| 127 |
+
"loss": 1.0991,
|
| 128 |
+
"step": 425
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.26,
|
| 132 |
+
"grad_norm": 11.027874946594238,
|
| 133 |
+
"learning_rate": 4.3159922928709055e-05,
|
| 134 |
+
"loss": 1.0221,
|
| 135 |
+
"step": 450
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.28,
|
| 139 |
+
"grad_norm": 27.792613983154297,
|
| 140 |
+
"learning_rate": 4.556840077071291e-05,
|
| 141 |
+
"loss": 0.8256,
|
| 142 |
+
"step": 475
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.29,
|
| 146 |
+
"grad_norm": 8.005478858947754,
|
| 147 |
+
"learning_rate": 4.7976878612716764e-05,
|
| 148 |
+
"loss": 0.9862,
|
| 149 |
+
"step": 500
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.3,
|
| 153 |
+
"grad_norm": 11.962843894958496,
|
| 154 |
+
"learning_rate": 4.995709995709996e-05,
|
| 155 |
+
"loss": 1.0462,
|
| 156 |
+
"step": 525
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.32,
|
| 160 |
+
"grad_norm": 7.288177013397217,
|
| 161 |
+
"learning_rate": 4.9688974688974696e-05,
|
| 162 |
+
"loss": 0.9999,
|
| 163 |
+
"step": 550
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.33,
|
| 167 |
+
"grad_norm": 3.769800901412964,
|
| 168 |
+
"learning_rate": 4.9420849420849425e-05,
|
| 169 |
+
"loss": 1.1262,
|
| 170 |
+
"step": 575
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.35,
|
| 174 |
+
"grad_norm": 8.510008811950684,
|
| 175 |
+
"learning_rate": 4.9152724152724154e-05,
|
| 176 |
+
"loss": 0.944,
|
| 177 |
+
"step": 600
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.36,
|
| 181 |
+
"grad_norm": 8.264263153076172,
|
| 182 |
+
"learning_rate": 4.888459888459889e-05,
|
| 183 |
+
"loss": 0.9652,
|
| 184 |
+
"step": 625
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.38,
|
| 188 |
+
"grad_norm": 10.604584693908691,
|
| 189 |
+
"learning_rate": 4.861647361647362e-05,
|
| 190 |
+
"loss": 0.9246,
|
| 191 |
+
"step": 650
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.39,
|
| 195 |
+
"grad_norm": 5.483927249908447,
|
| 196 |
+
"learning_rate": 4.834834834834835e-05,
|
| 197 |
+
"loss": 1.0557,
|
| 198 |
+
"step": 675
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.41,
|
| 202 |
+
"grad_norm": 10.221104621887207,
|
| 203 |
+
"learning_rate": 4.808022308022308e-05,
|
| 204 |
+
"loss": 0.7906,
|
| 205 |
+
"step": 700
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.42,
|
| 209 |
+
"grad_norm": 5.725340843200684,
|
| 210 |
+
"learning_rate": 4.781209781209782e-05,
|
| 211 |
+
"loss": 0.9,
|
| 212 |
+
"step": 725
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.43,
|
| 216 |
+
"grad_norm": 7.057939052581787,
|
| 217 |
+
"learning_rate": 4.754397254397255e-05,
|
| 218 |
+
"loss": 0.8744,
|
| 219 |
+
"step": 750
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.45,
|
| 223 |
+
"grad_norm": 9.354517936706543,
|
| 224 |
+
"learning_rate": 4.727584727584728e-05,
|
| 225 |
+
"loss": 1.0611,
|
| 226 |
+
"step": 775
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.46,
|
| 230 |
+
"grad_norm": 4.2830491065979,
|
| 231 |
+
"learning_rate": 4.700772200772201e-05,
|
| 232 |
+
"loss": 0.8894,
|
| 233 |
+
"step": 800
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.48,
|
| 237 |
+
"grad_norm": 10.702705383300781,
|
| 238 |
+
"learning_rate": 4.673959673959674e-05,
|
| 239 |
+
"loss": 1.0246,
|
| 240 |
+
"step": 825
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.49,
|
| 244 |
+
"grad_norm": 4.7863359451293945,
|
| 245 |
+
"learning_rate": 4.647147147147147e-05,
|
| 246 |
+
"loss": 0.7967,
|
| 247 |
+
"step": 850
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.51,
|
| 251 |
+
"grad_norm": 7.841278553009033,
|
| 252 |
+
"learning_rate": 4.62033462033462e-05,
|
| 253 |
+
"loss": 0.8616,
|
| 254 |
+
"step": 875
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.52,
|
| 258 |
+
"grad_norm": 6.256266117095947,
|
| 259 |
+
"learning_rate": 4.593522093522094e-05,
|
| 260 |
+
"loss": 0.9735,
|
| 261 |
+
"step": 900
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.54,
|
| 265 |
+
"grad_norm": 6.177362442016602,
|
| 266 |
+
"learning_rate": 4.566709566709567e-05,
|
| 267 |
+
"loss": 0.8287,
|
| 268 |
+
"step": 925
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.55,
|
| 272 |
+
"grad_norm": 6.448288917541504,
|
| 273 |
+
"learning_rate": 4.53989703989704e-05,
|
| 274 |
+
"loss": 1.0062,
|
| 275 |
+
"step": 950
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.56,
|
| 279 |
+
"grad_norm": 7.912018299102783,
|
| 280 |
+
"learning_rate": 4.513084513084513e-05,
|
| 281 |
+
"loss": 1.0174,
|
| 282 |
+
"step": 975
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.58,
|
| 286 |
+
"grad_norm": 9.055561065673828,
|
| 287 |
+
"learning_rate": 4.486271986271987e-05,
|
| 288 |
+
"loss": 0.9616,
|
| 289 |
+
"step": 1000
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.59,
|
| 293 |
+
"grad_norm": 7.433628559112549,
|
| 294 |
+
"learning_rate": 4.4594594594594596e-05,
|
| 295 |
+
"loss": 0.9309,
|
| 296 |
+
"step": 1025
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.61,
|
| 300 |
+
"grad_norm": 3.5334954261779785,
|
| 301 |
+
"learning_rate": 4.4326469326469325e-05,
|
| 302 |
+
"loss": 0.807,
|
| 303 |
+
"step": 1050
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.62,
|
| 307 |
+
"grad_norm": 5.620259761810303,
|
| 308 |
+
"learning_rate": 4.405834405834406e-05,
|
| 309 |
+
"loss": 0.8042,
|
| 310 |
+
"step": 1075
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.64,
|
| 314 |
+
"grad_norm": 7.67726469039917,
|
| 315 |
+
"learning_rate": 4.379021879021879e-05,
|
| 316 |
+
"loss": 0.7394,
|
| 317 |
+
"step": 1100
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.65,
|
| 321 |
+
"grad_norm": 9.430630683898926,
|
| 322 |
+
"learning_rate": 4.3522093522093526e-05,
|
| 323 |
+
"loss": 0.7895,
|
| 324 |
+
"step": 1125
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.67,
|
| 328 |
+
"grad_norm": 9.241034507751465,
|
| 329 |
+
"learning_rate": 4.3253968253968256e-05,
|
| 330 |
+
"loss": 0.8032,
|
| 331 |
+
"step": 1150
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.68,
|
| 335 |
+
"grad_norm": 7.471988201141357,
|
| 336 |
+
"learning_rate": 4.298584298584299e-05,
|
| 337 |
+
"loss": 0.7669,
|
| 338 |
+
"step": 1175
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.69,
|
| 342 |
+
"grad_norm": 3.161353588104248,
|
| 343 |
+
"learning_rate": 4.271771771771772e-05,
|
| 344 |
+
"loss": 0.8795,
|
| 345 |
+
"step": 1200
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.71,
|
| 349 |
+
"grad_norm": 6.6813201904296875,
|
| 350 |
+
"learning_rate": 4.244959244959245e-05,
|
| 351 |
+
"loss": 0.819,
|
| 352 |
+
"step": 1225
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.72,
|
| 356 |
+
"grad_norm": 16.08786392211914,
|
| 357 |
+
"learning_rate": 4.2181467181467186e-05,
|
| 358 |
+
"loss": 0.8779,
|
| 359 |
+
"step": 1250
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.74,
|
| 363 |
+
"grad_norm": 3.753849506378174,
|
| 364 |
+
"learning_rate": 4.1913341913341915e-05,
|
| 365 |
+
"loss": 0.9255,
|
| 366 |
+
"step": 1275
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.75,
|
| 370 |
+
"grad_norm": 5.4661431312561035,
|
| 371 |
+
"learning_rate": 4.1645216645216644e-05,
|
| 372 |
+
"loss": 0.8028,
|
| 373 |
+
"step": 1300
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.77,
|
| 377 |
+
"grad_norm": 6.559650897979736,
|
| 378 |
+
"learning_rate": 4.137709137709138e-05,
|
| 379 |
+
"loss": 0.7556,
|
| 380 |
+
"step": 1325
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.78,
|
| 384 |
+
"grad_norm": 5.7179341316223145,
|
| 385 |
+
"learning_rate": 4.1108966108966116e-05,
|
| 386 |
+
"loss": 0.7076,
|
| 387 |
+
"step": 1350
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.8,
|
| 391 |
+
"grad_norm": 12.687734603881836,
|
| 392 |
+
"learning_rate": 4.0840840840840845e-05,
|
| 393 |
+
"loss": 0.8583,
|
| 394 |
+
"step": 1375
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.81,
|
| 398 |
+
"grad_norm": 5.1677398681640625,
|
| 399 |
+
"learning_rate": 4.0572715572715574e-05,
|
| 400 |
+
"loss": 0.8944,
|
| 401 |
+
"step": 1400
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.83,
|
| 405 |
+
"grad_norm": 11.766656875610352,
|
| 406 |
+
"learning_rate": 4.03045903045903e-05,
|
| 407 |
+
"loss": 0.5638,
|
| 408 |
+
"step": 1425
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.84,
|
| 412 |
+
"grad_norm": 4.12522554397583,
|
| 413 |
+
"learning_rate": 4.003646503646504e-05,
|
| 414 |
+
"loss": 0.6883,
|
| 415 |
+
"step": 1450
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.85,
|
| 419 |
+
"grad_norm": 2.586186408996582,
|
| 420 |
+
"learning_rate": 3.976833976833977e-05,
|
| 421 |
+
"loss": 0.8784,
|
| 422 |
+
"step": 1475
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.87,
|
| 426 |
+
"grad_norm": 4.075995445251465,
|
| 427 |
+
"learning_rate": 3.95002145002145e-05,
|
| 428 |
+
"loss": 0.7596,
|
| 429 |
+
"step": 1500
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.88,
|
| 433 |
+
"grad_norm": 12.722098350524902,
|
| 434 |
+
"learning_rate": 3.923208923208923e-05,
|
| 435 |
+
"loss": 0.6316,
|
| 436 |
+
"step": 1525
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.9,
|
| 440 |
+
"grad_norm": 12.86962890625,
|
| 441 |
+
"learning_rate": 3.896396396396397e-05,
|
| 442 |
+
"loss": 0.7721,
|
| 443 |
+
"step": 1550
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.91,
|
| 447 |
+
"grad_norm": 10.640520095825195,
|
| 448 |
+
"learning_rate": 3.86958386958387e-05,
|
| 449 |
+
"loss": 0.711,
|
| 450 |
+
"step": 1575
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.93,
|
| 454 |
+
"grad_norm": 7.080173015594482,
|
| 455 |
+
"learning_rate": 3.842771342771343e-05,
|
| 456 |
+
"loss": 0.8145,
|
| 457 |
+
"step": 1600
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.94,
|
| 461 |
+
"grad_norm": 2.814232587814331,
|
| 462 |
+
"learning_rate": 3.815958815958816e-05,
|
| 463 |
+
"loss": 0.8509,
|
| 464 |
+
"step": 1625
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.96,
|
| 468 |
+
"grad_norm": 12.209416389465332,
|
| 469 |
+
"learning_rate": 3.789146289146289e-05,
|
| 470 |
+
"loss": 0.8037,
|
| 471 |
+
"step": 1650
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.97,
|
| 475 |
+
"grad_norm": 3.5646421909332275,
|
| 476 |
+
"learning_rate": 3.762333762333762e-05,
|
| 477 |
+
"loss": 0.8347,
|
| 478 |
+
"step": 1675
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.98,
|
| 482 |
+
"grad_norm": 8.00243854522705,
|
| 483 |
+
"learning_rate": 3.735521235521236e-05,
|
| 484 |
+
"loss": 0.7534,
|
| 485 |
+
"step": 1700
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 1.0,
|
| 489 |
+
"grad_norm": 5.955112934112549,
|
| 490 |
+
"learning_rate": 3.708708708708709e-05,
|
| 491 |
+
"loss": 0.9062,
|
| 492 |
+
"step": 1725
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 1.0,
|
| 496 |
+
"eval_accuracy": 0.7815393518518519,
|
| 497 |
+
"eval_f1_macro": 0.36763187534206965,
|
| 498 |
+
"eval_f1_micro": 0.7815393518518519,
|
| 499 |
+
"eval_f1_weighted": 0.7649698649865229,
|
| 500 |
+
"eval_loss": 0.6848556399345398,
|
| 501 |
+
"eval_precision_macro": 0.4527657259795588,
|
| 502 |
+
"eval_precision_micro": 0.7815393518518519,
|
| 503 |
+
"eval_precision_weighted": 0.7691072277887989,
|
| 504 |
+
"eval_recall_macro": 0.3815255183458625,
|
| 505 |
+
"eval_recall_micro": 0.7815393518518519,
|
| 506 |
+
"eval_recall_weighted": 0.7815393518518519,
|
| 507 |
+
"eval_runtime": 3330.8434,
|
| 508 |
+
"eval_samples_per_second": 1.038,
|
| 509 |
+
"eval_steps_per_second": 0.065,
|
| 510 |
+
"step": 1727
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"epoch": 1.01,
|
| 514 |
+
"grad_norm": 3.4409847259521484,
|
| 515 |
+
"learning_rate": 3.681896181896182e-05,
|
| 516 |
+
"loss": 0.8201,
|
| 517 |
+
"step": 1750
|
| 518 |
+
},
|
| 519 |
+
{
|
| 520 |
+
"epoch": 1.03,
|
| 521 |
+
"grad_norm": 7.564268589019775,
|
| 522 |
+
"learning_rate": 3.655083655083655e-05,
|
| 523 |
+
"loss": 0.548,
|
| 524 |
+
"step": 1775
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 1.04,
|
| 528 |
+
"grad_norm": 10.243828773498535,
|
| 529 |
+
"learning_rate": 3.628271128271129e-05,
|
| 530 |
+
"loss": 0.6348,
|
| 531 |
+
"step": 1800
|
| 532 |
+
},
|
| 533 |
+
{
|
| 534 |
+
"epoch": 1.06,
|
| 535 |
+
"grad_norm": 14.57152271270752,
|
| 536 |
+
"learning_rate": 3.6014586014586017e-05,
|
| 537 |
+
"loss": 0.66,
|
| 538 |
+
"step": 1825
|
| 539 |
+
},
|
| 540 |
+
{
|
| 541 |
+
"epoch": 1.07,
|
| 542 |
+
"grad_norm": 4.4091973304748535,
|
| 543 |
+
"learning_rate": 3.5746460746460746e-05,
|
| 544 |
+
"loss": 0.8169,
|
| 545 |
+
"step": 1850
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 1.09,
|
| 549 |
+
"grad_norm": 5.423861503601074,
|
| 550 |
+
"learning_rate": 3.547833547833548e-05,
|
| 551 |
+
"loss": 0.7353,
|
| 552 |
+
"step": 1875
|
| 553 |
+
},
|
| 554 |
+
{
|
| 555 |
+
"epoch": 1.1,
|
| 556 |
+
"grad_norm": 6.510718822479248,
|
| 557 |
+
"learning_rate": 3.521021021021021e-05,
|
| 558 |
+
"loss": 0.7008,
|
| 559 |
+
"step": 1900
|
| 560 |
+
},
|
| 561 |
+
{
|
| 562 |
+
"epoch": 1.11,
|
| 563 |
+
"grad_norm": 2.5035436153411865,
|
| 564 |
+
"learning_rate": 3.4942084942084947e-05,
|
| 565 |
+
"loss": 0.5975,
|
| 566 |
+
"step": 1925
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 1.13,
|
| 570 |
+
"grad_norm": 15.364286422729492,
|
| 571 |
+
"learning_rate": 3.4673959673959676e-05,
|
| 572 |
+
"loss": 0.8198,
|
| 573 |
+
"step": 1950
|
| 574 |
+
},
|
| 575 |
+
{
|
| 576 |
+
"epoch": 1.14,
|
| 577 |
+
"grad_norm": 16.03240966796875,
|
| 578 |
+
"learning_rate": 3.440583440583441e-05,
|
| 579 |
+
"loss": 0.7089,
|
| 580 |
+
"step": 1975
|
| 581 |
+
},
|
| 582 |
+
{
|
| 583 |
+
"epoch": 1.16,
|
| 584 |
+
"grad_norm": 8.521039962768555,
|
| 585 |
+
"learning_rate": 3.413770913770914e-05,
|
| 586 |
+
"loss": 0.6514,
|
| 587 |
+
"step": 2000
|
| 588 |
+
},
|
| 589 |
+
{
|
| 590 |
+
"epoch": 1.17,
|
| 591 |
+
"grad_norm": 5.206024169921875,
|
| 592 |
+
"learning_rate": 3.386958386958387e-05,
|
| 593 |
+
"loss": 0.7545,
|
| 594 |
+
"step": 2025
|
| 595 |
+
},
|
| 596 |
+
{
|
| 597 |
+
"epoch": 1.19,
|
| 598 |
+
"grad_norm": 7.756472110748291,
|
| 599 |
+
"learning_rate": 3.36014586014586e-05,
|
| 600 |
+
"loss": 0.8055,
|
| 601 |
+
"step": 2050
|
| 602 |
+
},
|
| 603 |
+
{
|
| 604 |
+
"epoch": 1.2,
|
| 605 |
+
"grad_norm": 17.274944305419922,
|
| 606 |
+
"learning_rate": 3.3333333333333335e-05,
|
| 607 |
+
"loss": 0.7212,
|
| 608 |
+
"step": 2075
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 1.22,
|
| 612 |
+
"grad_norm": 5.303420543670654,
|
| 613 |
+
"learning_rate": 3.3065208065208064e-05,
|
| 614 |
+
"loss": 0.7299,
|
| 615 |
+
"step": 2100
|
| 616 |
+
},
|
| 617 |
+
{
|
| 618 |
+
"epoch": 1.23,
|
| 619 |
+
"grad_norm": 5.07370138168335,
|
| 620 |
+
"learning_rate": 3.27970827970828e-05,
|
| 621 |
+
"loss": 0.5858,
|
| 622 |
+
"step": 2125
|
| 623 |
+
},
|
| 624 |
+
{
|
| 625 |
+
"epoch": 1.24,
|
| 626 |
+
"grad_norm": 6.2755937576293945,
|
| 627 |
+
"learning_rate": 3.252895752895753e-05,
|
| 628 |
+
"loss": 0.7687,
|
| 629 |
+
"step": 2150
|
| 630 |
+
},
|
| 631 |
+
{
|
| 632 |
+
"epoch": 1.26,
|
| 633 |
+
"grad_norm": 12.160276412963867,
|
| 634 |
+
"learning_rate": 3.227155727155727e-05,
|
| 635 |
+
"loss": 0.727,
|
| 636 |
+
"step": 2175
|
| 637 |
+
},
|
| 638 |
+
{
|
| 639 |
+
"epoch": 1.27,
|
| 640 |
+
"grad_norm": 3.9984447956085205,
|
| 641 |
+
"learning_rate": 3.2003432003432e-05,
|
| 642 |
+
"loss": 0.6697,
|
| 643 |
+
"step": 2200
|
| 644 |
+
},
|
| 645 |
+
{
|
| 646 |
+
"epoch": 1.29,
|
| 647 |
+
"grad_norm": 5.756568908691406,
|
| 648 |
+
"learning_rate": 3.173530673530674e-05,
|
| 649 |
+
"loss": 0.7912,
|
| 650 |
+
"step": 2225
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"epoch": 1.3,
|
| 654 |
+
"grad_norm": 8.783411026000977,
|
| 655 |
+
"learning_rate": 3.1467181467181466e-05,
|
| 656 |
+
"loss": 0.7035,
|
| 657 |
+
"step": 2250
|
| 658 |
+
},
|
| 659 |
+
{
|
| 660 |
+
"epoch": 1.32,
|
| 661 |
+
"grad_norm": 5.451704502105713,
|
| 662 |
+
"learning_rate": 3.1199056199056196e-05,
|
| 663 |
+
"loss": 0.7144,
|
| 664 |
+
"step": 2275
|
| 665 |
+
},
|
| 666 |
+
{
|
| 667 |
+
"epoch": 1.33,
|
| 668 |
+
"grad_norm": 5.039503574371338,
|
| 669 |
+
"learning_rate": 3.093093093093093e-05,
|
| 670 |
+
"loss": 0.7893,
|
| 671 |
+
"step": 2300
|
| 672 |
+
},
|
| 673 |
+
{
|
| 674 |
+
"epoch": 1.35,
|
| 675 |
+
"grad_norm": 12.280179023742676,
|
| 676 |
+
"learning_rate": 3.066280566280567e-05,
|
| 677 |
+
"loss": 0.5903,
|
| 678 |
+
"step": 2325
|
| 679 |
+
},
|
| 680 |
+
{
|
| 681 |
+
"epoch": 1.36,
|
| 682 |
+
"grad_norm": 6.999240398406982,
|
| 683 |
+
"learning_rate": 3.0394680394680397e-05,
|
| 684 |
+
"loss": 0.651,
|
| 685 |
+
"step": 2350
|
| 686 |
+
},
|
| 687 |
+
{
|
| 688 |
+
"epoch": 1.38,
|
| 689 |
+
"grad_norm": 7.355953216552734,
|
| 690 |
+
"learning_rate": 3.012655512655513e-05,
|
| 691 |
+
"loss": 0.878,
|
| 692 |
+
"step": 2375
|
| 693 |
+
},
|
| 694 |
+
{
|
| 695 |
+
"epoch": 1.39,
|
| 696 |
+
"grad_norm": 12.737029075622559,
|
| 697 |
+
"learning_rate": 2.9858429858429858e-05,
|
| 698 |
+
"loss": 0.731,
|
| 699 |
+
"step": 2400
|
| 700 |
+
},
|
| 701 |
+
{
|
| 702 |
+
"epoch": 1.4,
|
| 703 |
+
"grad_norm": 4.184784889221191,
|
| 704 |
+
"learning_rate": 2.959030459030459e-05,
|
| 705 |
+
"loss": 0.8775,
|
| 706 |
+
"step": 2425
|
| 707 |
+
},
|
| 708 |
+
{
|
| 709 |
+
"epoch": 1.42,
|
| 710 |
+
"grad_norm": 9.188583374023438,
|
| 711 |
+
"learning_rate": 2.9322179322179323e-05,
|
| 712 |
+
"loss": 0.7259,
|
| 713 |
+
"step": 2450
|
| 714 |
+
},
|
| 715 |
+
{
|
| 716 |
+
"epoch": 1.43,
|
| 717 |
+
"grad_norm": 12.98018741607666,
|
| 718 |
+
"learning_rate": 2.906477906477907e-05,
|
| 719 |
+
"loss": 0.6219,
|
| 720 |
+
"step": 2475
|
| 721 |
+
},
|
| 722 |
+
{
|
| 723 |
+
"epoch": 1.45,
|
| 724 |
+
"grad_norm": 12.084989547729492,
|
| 725 |
+
"learning_rate": 2.87966537966538e-05,
|
| 726 |
+
"loss": 0.5074,
|
| 727 |
+
"step": 2500
|
| 728 |
+
},
|
| 729 |
+
{
|
| 730 |
+
"epoch": 1.46,
|
| 731 |
+
"grad_norm": 5.283312797546387,
|
| 732 |
+
"learning_rate": 2.852852852852853e-05,
|
| 733 |
+
"loss": 0.6606,
|
| 734 |
+
"step": 2525
|
| 735 |
+
},
|
| 736 |
+
{
|
| 737 |
+
"epoch": 1.48,
|
| 738 |
+
"grad_norm": 19.32860565185547,
|
| 739 |
+
"learning_rate": 2.826040326040326e-05,
|
| 740 |
+
"loss": 0.7651,
|
| 741 |
+
"step": 2550
|
| 742 |
+
},
|
| 743 |
+
{
|
| 744 |
+
"epoch": 1.49,
|
| 745 |
+
"grad_norm": 4.0794901847839355,
|
| 746 |
+
"learning_rate": 2.7992277992277993e-05,
|
| 747 |
+
"loss": 0.6737,
|
| 748 |
+
"step": 2575
|
| 749 |
+
},
|
| 750 |
+
{
|
| 751 |
+
"epoch": 1.51,
|
| 752 |
+
"grad_norm": 33.1405029296875,
|
| 753 |
+
"learning_rate": 2.7724152724152726e-05,
|
| 754 |
+
"loss": 0.654,
|
| 755 |
+
"step": 2600
|
| 756 |
+
},
|
| 757 |
+
{
|
| 758 |
+
"epoch": 1.52,
|
| 759 |
+
"grad_norm": 4.921344757080078,
|
| 760 |
+
"learning_rate": 2.7456027456027455e-05,
|
| 761 |
+
"loss": 0.7194,
|
| 762 |
+
"step": 2625
|
| 763 |
+
},
|
| 764 |
+
{
|
| 765 |
+
"epoch": 1.53,
|
| 766 |
+
"grad_norm": 5.453707695007324,
|
| 767 |
+
"learning_rate": 2.7187902187902187e-05,
|
| 768 |
+
"loss": 0.6851,
|
| 769 |
+
"step": 2650
|
| 770 |
+
},
|
| 771 |
+
{
|
| 772 |
+
"epoch": 1.55,
|
| 773 |
+
"grad_norm": 8.766169548034668,
|
| 774 |
+
"learning_rate": 2.6919776919776923e-05,
|
| 775 |
+
"loss": 0.8228,
|
| 776 |
+
"step": 2675
|
| 777 |
+
},
|
| 778 |
+
{
|
| 779 |
+
"epoch": 1.56,
|
| 780 |
+
"grad_norm": 8.957389831542969,
|
| 781 |
+
"learning_rate": 2.6651651651651656e-05,
|
| 782 |
+
"loss": 0.6645,
|
| 783 |
+
"step": 2700
|
| 784 |
+
},
|
| 785 |
+
{
|
| 786 |
+
"epoch": 1.58,
|
| 787 |
+
"grad_norm": 5.715158939361572,
|
| 788 |
+
"learning_rate": 2.6383526383526385e-05,
|
| 789 |
+
"loss": 0.6905,
|
| 790 |
+
"step": 2725
|
| 791 |
+
},
|
| 792 |
+
{
|
| 793 |
+
"epoch": 1.59,
|
| 794 |
+
"grad_norm": 6.306962490081787,
|
| 795 |
+
"learning_rate": 2.6115401115401117e-05,
|
| 796 |
+
"loss": 0.6924,
|
| 797 |
+
"step": 2750
|
| 798 |
+
},
|
| 799 |
+
{
|
| 800 |
+
"epoch": 1.61,
|
| 801 |
+
"grad_norm": 8.548517227172852,
|
| 802 |
+
"learning_rate": 2.5847275847275846e-05,
|
| 803 |
+
"loss": 0.8402,
|
| 804 |
+
"step": 2775
|
| 805 |
+
},
|
| 806 |
+
{
|
| 807 |
+
"epoch": 1.62,
|
| 808 |
+
"grad_norm": 7.5719895362854,
|
| 809 |
+
"learning_rate": 2.557915057915058e-05,
|
| 810 |
+
"loss": 0.7758,
|
| 811 |
+
"step": 2800
|
| 812 |
+
},
|
| 813 |
+
{
|
| 814 |
+
"epoch": 1.64,
|
| 815 |
+
"grad_norm": 8.910326957702637,
|
| 816 |
+
"learning_rate": 2.531102531102531e-05,
|
| 817 |
+
"loss": 0.5645,
|
| 818 |
+
"step": 2825
|
| 819 |
+
},
|
| 820 |
+
{
|
| 821 |
+
"epoch": 1.65,
|
| 822 |
+
"grad_norm": 8.304277420043945,
|
| 823 |
+
"learning_rate": 2.504290004290004e-05,
|
| 824 |
+
"loss": 0.7066,
|
| 825 |
+
"step": 2850
|
| 826 |
+
},
|
| 827 |
+
{
|
| 828 |
+
"epoch": 1.66,
|
| 829 |
+
"grad_norm": 13.99254035949707,
|
| 830 |
+
"learning_rate": 2.4774774774774777e-05,
|
| 831 |
+
"loss": 0.7396,
|
| 832 |
+
"step": 2875
|
| 833 |
+
},
|
| 834 |
+
{
|
| 835 |
+
"epoch": 1.68,
|
| 836 |
+
"grad_norm": 3.806931257247925,
|
| 837 |
+
"learning_rate": 2.4506649506649506e-05,
|
| 838 |
+
"loss": 0.6334,
|
| 839 |
+
"step": 2900
|
| 840 |
+
},
|
| 841 |
+
{
|
| 842 |
+
"epoch": 1.69,
|
| 843 |
+
"grad_norm": 6.550988674163818,
|
| 844 |
+
"learning_rate": 2.423852423852424e-05,
|
| 845 |
+
"loss": 0.9251,
|
| 846 |
+
"step": 2925
|
| 847 |
+
},
|
| 848 |
+
{
|
| 849 |
+
"epoch": 1.71,
|
| 850 |
+
"grad_norm": 3.1442198753356934,
|
| 851 |
+
"learning_rate": 2.397039897039897e-05,
|
| 852 |
+
"loss": 0.546,
|
| 853 |
+
"step": 2950
|
| 854 |
+
},
|
| 855 |
+
{
|
| 856 |
+
"epoch": 1.72,
|
| 857 |
+
"grad_norm": 5.249305248260498,
|
| 858 |
+
"learning_rate": 2.3702273702273703e-05,
|
| 859 |
+
"loss": 0.6419,
|
| 860 |
+
"step": 2975
|
| 861 |
+
},
|
| 862 |
+
{
|
| 863 |
+
"epoch": 1.74,
|
| 864 |
+
"grad_norm": 5.300810813903809,
|
| 865 |
+
"learning_rate": 2.3434148434148436e-05,
|
| 866 |
+
"loss": 0.535,
|
| 867 |
+
"step": 3000
|
| 868 |
+
},
|
| 869 |
+
{
|
| 870 |
+
"epoch": 1.75,
|
| 871 |
+
"grad_norm": 8.079426765441895,
|
| 872 |
+
"learning_rate": 2.3166023166023168e-05,
|
| 873 |
+
"loss": 0.8142,
|
| 874 |
+
"step": 3025
|
| 875 |
+
},
|
| 876 |
+
{
|
| 877 |
+
"epoch": 1.77,
|
| 878 |
+
"grad_norm": 6.737719535827637,
|
| 879 |
+
"learning_rate": 2.28978978978979e-05,
|
| 880 |
+
"loss": 0.5974,
|
| 881 |
+
"step": 3050
|
| 882 |
+
},
|
| 883 |
+
{
|
| 884 |
+
"epoch": 1.78,
|
| 885 |
+
"grad_norm": 5.037626266479492,
|
| 886 |
+
"learning_rate": 2.262977262977263e-05,
|
| 887 |
+
"loss": 0.7068,
|
| 888 |
+
"step": 3075
|
| 889 |
+
},
|
| 890 |
+
{
|
| 891 |
+
"epoch": 1.8,
|
| 892 |
+
"grad_norm": 3.4523470401763916,
|
| 893 |
+
"learning_rate": 2.2361647361647362e-05,
|
| 894 |
+
"loss": 0.5756,
|
| 895 |
+
"step": 3100
|
| 896 |
+
},
|
| 897 |
+
{
|
| 898 |
+
"epoch": 1.81,
|
| 899 |
+
"grad_norm": 2.2966675758361816,
|
| 900 |
+
"learning_rate": 2.2093522093522095e-05,
|
| 901 |
+
"loss": 0.4941,
|
| 902 |
+
"step": 3125
|
| 903 |
+
},
|
| 904 |
+
{
|
| 905 |
+
"epoch": 1.82,
|
| 906 |
+
"grad_norm": 11.497820854187012,
|
| 907 |
+
"learning_rate": 2.1825396825396827e-05,
|
| 908 |
+
"loss": 0.8353,
|
| 909 |
+
"step": 3150
|
| 910 |
+
},
|
| 911 |
+
{
|
| 912 |
+
"epoch": 1.84,
|
| 913 |
+
"grad_norm": 11.813599586486816,
|
| 914 |
+
"learning_rate": 2.1557271557271557e-05,
|
| 915 |
+
"loss": 0.8303,
|
| 916 |
+
"step": 3175
|
| 917 |
+
},
|
| 918 |
+
{
|
| 919 |
+
"epoch": 1.85,
|
| 920 |
+
"grad_norm": 2.504293203353882,
|
| 921 |
+
"learning_rate": 2.128914628914629e-05,
|
| 922 |
+
"loss": 0.5574,
|
| 923 |
+
"step": 3200
|
| 924 |
+
},
|
| 925 |
+
{
|
| 926 |
+
"epoch": 1.87,
|
| 927 |
+
"grad_norm": 8.983193397521973,
|
| 928 |
+
"learning_rate": 2.102102102102102e-05,
|
| 929 |
+
"loss": 0.6033,
|
| 930 |
+
"step": 3225
|
| 931 |
+
},
|
| 932 |
+
{
|
| 933 |
+
"epoch": 1.88,
|
| 934 |
+
"grad_norm": 7.629824161529541,
|
| 935 |
+
"learning_rate": 2.0752895752895754e-05,
|
| 936 |
+
"loss": 0.6305,
|
| 937 |
+
"step": 3250
|
| 938 |
+
},
|
| 939 |
+
{
|
| 940 |
+
"epoch": 1.9,
|
| 941 |
+
"grad_norm": 10.86919116973877,
|
| 942 |
+
"learning_rate": 2.0484770484770487e-05,
|
| 943 |
+
"loss": 0.6045,
|
| 944 |
+
"step": 3275
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"epoch": 1.91,
|
| 948 |
+
"grad_norm": 6.0854387283325195,
|
| 949 |
+
"learning_rate": 2.0216645216645216e-05,
|
| 950 |
+
"loss": 0.6208,
|
| 951 |
+
"step": 3300
|
| 952 |
+
},
|
| 953 |
+
{
|
| 954 |
+
"epoch": 1.93,
|
| 955 |
+
"grad_norm": 6.228011131286621,
|
| 956 |
+
"learning_rate": 1.994851994851995e-05,
|
| 957 |
+
"loss": 0.6249,
|
| 958 |
+
"step": 3325
|
| 959 |
+
},
|
| 960 |
+
{
|
| 961 |
+
"epoch": 1.94,
|
| 962 |
+
"grad_norm": 7.076812744140625,
|
| 963 |
+
"learning_rate": 1.968039468039468e-05,
|
| 964 |
+
"loss": 0.6176,
|
| 965 |
+
"step": 3350
|
| 966 |
+
},
|
| 967 |
+
{
|
| 968 |
+
"epoch": 1.95,
|
| 969 |
+
"grad_norm": 7.893978595733643,
|
| 970 |
+
"learning_rate": 1.9412269412269413e-05,
|
| 971 |
+
"loss": 0.7779,
|
| 972 |
+
"step": 3375
|
| 973 |
+
},
|
| 974 |
+
{
|
| 975 |
+
"epoch": 1.97,
|
| 976 |
+
"grad_norm": 7.72683048248291,
|
| 977 |
+
"learning_rate": 1.9144144144144142e-05,
|
| 978 |
+
"loss": 0.669,
|
| 979 |
+
"step": 3400
|
| 980 |
+
},
|
| 981 |
+
{
|
| 982 |
+
"epoch": 1.98,
|
| 983 |
+
"grad_norm": 3.820025682449341,
|
| 984 |
+
"learning_rate": 1.887601887601888e-05,
|
| 985 |
+
"loss": 0.6182,
|
| 986 |
+
"step": 3425
|
| 987 |
+
},
|
| 988 |
+
{
|
| 989 |
+
"epoch": 2.0,
|
| 990 |
+
"grad_norm": 5.642152309417725,
|
| 991 |
+
"learning_rate": 1.8607893607893607e-05,
|
| 992 |
+
"loss": 0.6453,
|
| 993 |
+
"step": 3450
|
| 994 |
+
},
|
| 995 |
+
{
|
| 996 |
+
"epoch": 2.0,
|
| 997 |
+
"eval_accuracy": 0.8454861111111112,
|
| 998 |
+
"eval_f1_macro": 0.5038698715266201,
|
| 999 |
+
"eval_f1_micro": 0.845486111111111,
|
| 1000 |
+
"eval_f1_weighted": 0.830657390454042,
|
| 1001 |
+
"eval_loss": 0.4813511371612549,
|
| 1002 |
+
"eval_precision_macro": 0.7578927995388053,
|
| 1003 |
+
"eval_precision_micro": 0.8454861111111112,
|
| 1004 |
+
"eval_precision_weighted": 0.8347843050246918,
|
| 1005 |
+
"eval_recall_macro": 0.456096431265928,
|
| 1006 |
+
"eval_recall_micro": 0.8454861111111112,
|
| 1007 |
+
"eval_recall_weighted": 0.8454861111111112,
|
| 1008 |
+
"eval_runtime": 3281.605,
|
| 1009 |
+
"eval_samples_per_second": 1.053,
|
| 1010 |
+
"eval_steps_per_second": 0.066,
|
| 1011 |
+
"step": 3454
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 2.01,
|
| 1015 |
+
"grad_norm": 8.240702629089355,
|
| 1016 |
+
"learning_rate": 1.833976833976834e-05,
|
| 1017 |
+
"loss": 0.4854,
|
| 1018 |
+
"step": 3475
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 2.03,
|
| 1022 |
+
"grad_norm": 7.087810039520264,
|
| 1023 |
+
"learning_rate": 1.8071643071643072e-05,
|
| 1024 |
+
"loss": 0.5459,
|
| 1025 |
+
"step": 3500
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 2.04,
|
| 1029 |
+
"grad_norm": 0.7334815859794617,
|
| 1030 |
+
"learning_rate": 1.7803517803517805e-05,
|
| 1031 |
+
"loss": 0.5212,
|
| 1032 |
+
"step": 3525
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 2.06,
|
| 1036 |
+
"grad_norm": 6.095980167388916,
|
| 1037 |
+
"learning_rate": 1.7535392535392538e-05,
|
| 1038 |
+
"loss": 0.5191,
|
| 1039 |
+
"step": 3550
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 2.07,
|
| 1043 |
+
"grad_norm": 10.246546745300293,
|
| 1044 |
+
"learning_rate": 1.7267267267267267e-05,
|
| 1045 |
+
"loss": 0.6645,
|
| 1046 |
+
"step": 3575
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 2.08,
|
| 1050 |
+
"grad_norm": 3.6809566020965576,
|
| 1051 |
+
"learning_rate": 1.6999141999142e-05,
|
| 1052 |
+
"loss": 0.5629,
|
| 1053 |
+
"step": 3600
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 2.1,
|
| 1057 |
+
"grad_norm": 13.609752655029297,
|
| 1058 |
+
"learning_rate": 1.673101673101673e-05,
|
| 1059 |
+
"loss": 0.6598,
|
| 1060 |
+
"step": 3625
|
| 1061 |
+
},
|
| 1062 |
+
{
|
| 1063 |
+
"epoch": 2.11,
|
| 1064 |
+
"grad_norm": 5.554472923278809,
|
| 1065 |
+
"learning_rate": 1.6462891462891464e-05,
|
| 1066 |
+
"loss": 0.4935,
|
| 1067 |
+
"step": 3650
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 2.13,
|
| 1071 |
+
"grad_norm": 16.72881317138672,
|
| 1072 |
+
"learning_rate": 1.6205491205491204e-05,
|
| 1073 |
+
"loss": 0.379,
|
| 1074 |
+
"step": 3675
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 2.14,
|
| 1078 |
+
"grad_norm": 9.573266983032227,
|
| 1079 |
+
"learning_rate": 1.593736593736594e-05,
|
| 1080 |
+
"loss": 0.7141,
|
| 1081 |
+
"step": 3700
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 2.16,
|
| 1085 |
+
"grad_norm": 5.245655059814453,
|
| 1086 |
+
"learning_rate": 1.566924066924067e-05,
|
| 1087 |
+
"loss": 0.7518,
|
| 1088 |
+
"step": 3725
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 2.17,
|
| 1092 |
+
"grad_norm": 13.11945915222168,
|
| 1093 |
+
"learning_rate": 1.54011154011154e-05,
|
| 1094 |
+
"loss": 0.6588,
|
| 1095 |
+
"step": 3750
|
| 1096 |
+
},
|
| 1097 |
+
{
|
| 1098 |
+
"epoch": 2.19,
|
| 1099 |
+
"grad_norm": 6.219137191772461,
|
| 1100 |
+
"learning_rate": 1.5132990132990132e-05,
|
| 1101 |
+
"loss": 0.5884,
|
| 1102 |
+
"step": 3775
|
| 1103 |
+
},
|
| 1104 |
+
{
|
| 1105 |
+
"epoch": 2.2,
|
| 1106 |
+
"grad_norm": 6.516097545623779,
|
| 1107 |
+
"learning_rate": 1.4864864864864867e-05,
|
| 1108 |
+
"loss": 0.4572,
|
| 1109 |
+
"step": 3800
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 2.21,
|
| 1113 |
+
"grad_norm": 4.23282527923584,
|
| 1114 |
+
"learning_rate": 1.4596739596739597e-05,
|
| 1115 |
+
"loss": 0.6028,
|
| 1116 |
+
"step": 3825
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 2.23,
|
| 1120 |
+
"grad_norm": 2.6169815063476562,
|
| 1121 |
+
"learning_rate": 1.4328614328614328e-05,
|
| 1122 |
+
"loss": 0.6198,
|
| 1123 |
+
"step": 3850
|
| 1124 |
+
},
|
| 1125 |
+
{
|
| 1126 |
+
"epoch": 2.24,
|
| 1127 |
+
"grad_norm": 4.720090389251709,
|
| 1128 |
+
"learning_rate": 1.4060489060489059e-05,
|
| 1129 |
+
"loss": 0.556,
|
| 1130 |
+
"step": 3875
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 2.26,
|
| 1134 |
+
"grad_norm": 7.367048263549805,
|
| 1135 |
+
"learning_rate": 1.3792363792363793e-05,
|
| 1136 |
+
"loss": 0.5812,
|
| 1137 |
+
"step": 3900
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"epoch": 2.27,
|
| 1141 |
+
"grad_norm": 7.3934173583984375,
|
| 1142 |
+
"learning_rate": 1.3524238524238526e-05,
|
| 1143 |
+
"loss": 0.6141,
|
| 1144 |
+
"step": 3925
|
| 1145 |
+
},
|
| 1146 |
+
{
|
| 1147 |
+
"epoch": 2.29,
|
| 1148 |
+
"grad_norm": 10.528743743896484,
|
| 1149 |
+
"learning_rate": 1.3256113256113257e-05,
|
| 1150 |
+
"loss": 0.6047,
|
| 1151 |
+
"step": 3950
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"epoch": 2.3,
|
| 1155 |
+
"grad_norm": 7.282771110534668,
|
| 1156 |
+
"learning_rate": 1.2987987987987987e-05,
|
| 1157 |
+
"loss": 0.6281,
|
| 1158 |
+
"step": 3975
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"epoch": 2.32,
|
| 1162 |
+
"grad_norm": 11.970826148986816,
|
| 1163 |
+
"learning_rate": 1.2719862719862722e-05,
|
| 1164 |
+
"loss": 0.4103,
|
| 1165 |
+
"step": 4000
|
| 1166 |
+
},
|
| 1167 |
+
{
|
| 1168 |
+
"epoch": 2.33,
|
| 1169 |
+
"grad_norm": 6.620480537414551,
|
| 1170 |
+
"learning_rate": 1.2451737451737452e-05,
|
| 1171 |
+
"loss": 0.5386,
|
| 1172 |
+
"step": 4025
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 2.35,
|
| 1176 |
+
"grad_norm": 5.699476718902588,
|
| 1177 |
+
"learning_rate": 1.2183612183612183e-05,
|
| 1178 |
+
"loss": 0.6507,
|
| 1179 |
+
"step": 4050
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 2.36,
|
| 1183 |
+
"grad_norm": 2.477766275405884,
|
| 1184 |
+
"learning_rate": 1.1915486915486916e-05,
|
| 1185 |
+
"loss": 0.524,
|
| 1186 |
+
"step": 4075
|
| 1187 |
+
},
|
| 1188 |
+
{
|
| 1189 |
+
"epoch": 2.37,
|
| 1190 |
+
"grad_norm": 6.517852306365967,
|
| 1191 |
+
"learning_rate": 1.1647361647361647e-05,
|
| 1192 |
+
"loss": 0.6979,
|
| 1193 |
+
"step": 4100
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 2.39,
|
| 1197 |
+
"grad_norm": 4.506691932678223,
|
| 1198 |
+
"learning_rate": 1.1379236379236379e-05,
|
| 1199 |
+
"loss": 0.4651,
|
| 1200 |
+
"step": 4125
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 2.4,
|
| 1204 |
+
"grad_norm": 6.522432804107666,
|
| 1205 |
+
"learning_rate": 1.1111111111111112e-05,
|
| 1206 |
+
"loss": 0.6845,
|
| 1207 |
+
"step": 4150
|
| 1208 |
+
},
|
| 1209 |
+
{
|
| 1210 |
+
"epoch": 2.42,
|
| 1211 |
+
"grad_norm": 12.015291213989258,
|
| 1212 |
+
"learning_rate": 1.0842985842985844e-05,
|
| 1213 |
+
"loss": 0.5348,
|
| 1214 |
+
"step": 4175
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 2.43,
|
| 1218 |
+
"grad_norm": 7.297937393188477,
|
| 1219 |
+
"learning_rate": 1.0574860574860575e-05,
|
| 1220 |
+
"loss": 0.5412,
|
| 1221 |
+
"step": 4200
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 2.45,
|
| 1225 |
+
"grad_norm": 13.665657997131348,
|
| 1226 |
+
"learning_rate": 1.0306735306735307e-05,
|
| 1227 |
+
"loss": 0.5137,
|
| 1228 |
+
"step": 4225
|
| 1229 |
+
},
|
| 1230 |
+
{
|
| 1231 |
+
"epoch": 2.46,
|
| 1232 |
+
"grad_norm": 11.743260383605957,
|
| 1233 |
+
"learning_rate": 1.0038610038610038e-05,
|
| 1234 |
+
"loss": 0.5738,
|
| 1235 |
+
"step": 4250
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"epoch": 2.48,
|
| 1239 |
+
"grad_norm": 10.24691104888916,
|
| 1240 |
+
"learning_rate": 9.77048477048477e-06,
|
| 1241 |
+
"loss": 0.5134,
|
| 1242 |
+
"step": 4275
|
| 1243 |
+
},
|
| 1244 |
+
{
|
| 1245 |
+
"epoch": 2.49,
|
| 1246 |
+
"grad_norm": 4.543239116668701,
|
| 1247 |
+
"learning_rate": 9.502359502359502e-06,
|
| 1248 |
+
"loss": 0.6055,
|
| 1249 |
+
"step": 4300
|
| 1250 |
+
},
|
| 1251 |
+
{
|
| 1252 |
+
"epoch": 2.5,
|
| 1253 |
+
"grad_norm": 7.915064811706543,
|
| 1254 |
+
"learning_rate": 9.234234234234234e-06,
|
| 1255 |
+
"loss": 0.5153,
|
| 1256 |
+
"step": 4325
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 2.52,
|
| 1260 |
+
"grad_norm": 8.37210750579834,
|
| 1261 |
+
"learning_rate": 8.966108966108967e-06,
|
| 1262 |
+
"loss": 0.4754,
|
| 1263 |
+
"step": 4350
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"epoch": 2.53,
|
| 1267 |
+
"grad_norm": 7.3417487144470215,
|
| 1268 |
+
"learning_rate": 8.6979836979837e-06,
|
| 1269 |
+
"loss": 0.6285,
|
| 1270 |
+
"step": 4375
|
| 1271 |
+
},
|
| 1272 |
+
{
|
| 1273 |
+
"epoch": 2.55,
|
| 1274 |
+
"grad_norm": 9.027023315429688,
|
| 1275 |
+
"learning_rate": 8.42985842985843e-06,
|
| 1276 |
+
"loss": 0.4925,
|
| 1277 |
+
"step": 4400
|
| 1278 |
+
},
|
| 1279 |
+
{
|
| 1280 |
+
"epoch": 2.56,
|
| 1281 |
+
"grad_norm": 7.813179016113281,
|
| 1282 |
+
"learning_rate": 8.161733161733163e-06,
|
| 1283 |
+
"loss": 0.5089,
|
| 1284 |
+
"step": 4425
|
| 1285 |
+
},
|
| 1286 |
+
{
|
| 1287 |
+
"epoch": 2.58,
|
| 1288 |
+
"grad_norm": 13.45531940460205,
|
| 1289 |
+
"learning_rate": 7.893607893607893e-06,
|
| 1290 |
+
"loss": 0.4717,
|
| 1291 |
+
"step": 4450
|
| 1292 |
+
},
|
| 1293 |
+
{
|
| 1294 |
+
"epoch": 2.59,
|
| 1295 |
+
"grad_norm": 7.09887170791626,
|
| 1296 |
+
"learning_rate": 7.625482625482626e-06,
|
| 1297 |
+
"loss": 0.6506,
|
| 1298 |
+
"step": 4475
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 2.61,
|
| 1302 |
+
"grad_norm": 4.6297383308410645,
|
| 1303 |
+
"learning_rate": 7.357357357357357e-06,
|
| 1304 |
+
"loss": 0.4828,
|
| 1305 |
+
"step": 4500
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 2.62,
|
| 1309 |
+
"grad_norm": 8.980986595153809,
|
| 1310 |
+
"learning_rate": 7.089232089232089e-06,
|
| 1311 |
+
"loss": 0.4233,
|
| 1312 |
+
"step": 4525
|
| 1313 |
+
},
|
| 1314 |
+
{
|
| 1315 |
+
"epoch": 2.63,
|
| 1316 |
+
"grad_norm": 26.76249885559082,
|
| 1317 |
+
"learning_rate": 6.821106821106821e-06,
|
| 1318 |
+
"loss": 0.5748,
|
| 1319 |
+
"step": 4550
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 2.65,
|
| 1323 |
+
"grad_norm": 8.72842788696289,
|
| 1324 |
+
"learning_rate": 6.552981552981553e-06,
|
| 1325 |
+
"loss": 0.6565,
|
| 1326 |
+
"step": 4575
|
| 1327 |
+
},
|
| 1328 |
+
{
|
| 1329 |
+
"epoch": 2.66,
|
| 1330 |
+
"grad_norm": 9.191315650939941,
|
| 1331 |
+
"learning_rate": 6.284856284856284e-06,
|
| 1332 |
+
"loss": 0.5332,
|
| 1333 |
+
"step": 4600
|
| 1334 |
+
},
|
| 1335 |
+
{
|
| 1336 |
+
"epoch": 2.68,
|
| 1337 |
+
"grad_norm": 7.631181240081787,
|
| 1338 |
+
"learning_rate": 6.016731016731017e-06,
|
| 1339 |
+
"loss": 0.4692,
|
| 1340 |
+
"step": 4625
|
| 1341 |
+
},
|
| 1342 |
+
{
|
| 1343 |
+
"epoch": 2.69,
|
| 1344 |
+
"grad_norm": 7.811351299285889,
|
| 1345 |
+
"learning_rate": 5.748605748605749e-06,
|
| 1346 |
+
"loss": 0.6485,
|
| 1347 |
+
"step": 4650
|
| 1348 |
+
},
|
| 1349 |
+
{
|
| 1350 |
+
"epoch": 2.71,
|
| 1351 |
+
"grad_norm": 8.997116088867188,
|
| 1352 |
+
"learning_rate": 5.480480480480481e-06,
|
| 1353 |
+
"loss": 0.4207,
|
| 1354 |
+
"step": 4675
|
| 1355 |
+
},
|
| 1356 |
+
{
|
| 1357 |
+
"epoch": 2.72,
|
| 1358 |
+
"grad_norm": 9.758033752441406,
|
| 1359 |
+
"learning_rate": 5.212355212355213e-06,
|
| 1360 |
+
"loss": 0.5205,
|
| 1361 |
+
"step": 4700
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"epoch": 2.74,
|
| 1365 |
+
"grad_norm": 5.98590612411499,
|
| 1366 |
+
"learning_rate": 4.944229944229944e-06,
|
| 1367 |
+
"loss": 0.6115,
|
| 1368 |
+
"step": 4725
|
| 1369 |
+
},
|
| 1370 |
+
{
|
| 1371 |
+
"epoch": 2.75,
|
| 1372 |
+
"grad_norm": 11.506319046020508,
|
| 1373 |
+
"learning_rate": 4.676104676104676e-06,
|
| 1374 |
+
"loss": 0.4449,
|
| 1375 |
+
"step": 4750
|
| 1376 |
+
},
|
| 1377 |
+
{
|
| 1378 |
+
"epoch": 2.76,
|
| 1379 |
+
"grad_norm": 7.969517230987549,
|
| 1380 |
+
"learning_rate": 4.4079794079794084e-06,
|
| 1381 |
+
"loss": 0.5384,
|
| 1382 |
+
"step": 4775
|
| 1383 |
+
},
|
| 1384 |
+
{
|
| 1385 |
+
"epoch": 2.78,
|
| 1386 |
+
"grad_norm": 0.8463253974914551,
|
| 1387 |
+
"learning_rate": 4.13985413985414e-06,
|
| 1388 |
+
"loss": 0.4981,
|
| 1389 |
+
"step": 4800
|
| 1390 |
+
},
|
| 1391 |
+
{
|
| 1392 |
+
"epoch": 2.79,
|
| 1393 |
+
"grad_norm": 12.771890640258789,
|
| 1394 |
+
"learning_rate": 3.871728871728872e-06,
|
| 1395 |
+
"loss": 0.4786,
|
| 1396 |
+
"step": 4825
|
| 1397 |
+
},
|
| 1398 |
+
{
|
| 1399 |
+
"epoch": 2.81,
|
| 1400 |
+
"grad_norm": 0.6047688126564026,
|
| 1401 |
+
"learning_rate": 3.603603603603604e-06,
|
| 1402 |
+
"loss": 0.4913,
|
| 1403 |
+
"step": 4850
|
| 1404 |
+
},
|
| 1405 |
+
{
|
| 1406 |
+
"epoch": 2.82,
|
| 1407 |
+
"grad_norm": 7.117040157318115,
|
| 1408 |
+
"learning_rate": 3.3354783354783355e-06,
|
| 1409 |
+
"loss": 0.5386,
|
| 1410 |
+
"step": 4875
|
| 1411 |
+
},
|
| 1412 |
+
{
|
| 1413 |
+
"epoch": 2.84,
|
| 1414 |
+
"grad_norm": 5.262890338897705,
|
| 1415 |
+
"learning_rate": 3.0673530673530676e-06,
|
| 1416 |
+
"loss": 0.6115,
|
| 1417 |
+
"step": 4900
|
| 1418 |
+
},
|
| 1419 |
+
{
|
| 1420 |
+
"epoch": 2.85,
|
| 1421 |
+
"grad_norm": 0.5500399470329285,
|
| 1422 |
+
"learning_rate": 2.7992277992277993e-06,
|
| 1423 |
+
"loss": 0.5285,
|
| 1424 |
+
"step": 4925
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 2.87,
|
| 1428 |
+
"grad_norm": 2.5653154850006104,
|
| 1429 |
+
"learning_rate": 2.531102531102531e-06,
|
| 1430 |
+
"loss": 0.3621,
|
| 1431 |
+
"step": 4950
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"epoch": 2.88,
|
| 1435 |
+
"grad_norm": 5.71751594543457,
|
| 1436 |
+
"learning_rate": 2.262977262977263e-06,
|
| 1437 |
+
"loss": 0.6007,
|
| 1438 |
+
"step": 4975
|
| 1439 |
+
},
|
| 1440 |
+
{
|
| 1441 |
+
"epoch": 2.9,
|
| 1442 |
+
"grad_norm": 12.138904571533203,
|
| 1443 |
+
"learning_rate": 1.9948519948519947e-06,
|
| 1444 |
+
"loss": 0.5797,
|
| 1445 |
+
"step": 5000
|
| 1446 |
+
},
|
| 1447 |
+
{
|
| 1448 |
+
"epoch": 2.91,
|
| 1449 |
+
"grad_norm": 8.795024871826172,
|
| 1450 |
+
"learning_rate": 1.7267267267267268e-06,
|
| 1451 |
+
"loss": 0.5585,
|
| 1452 |
+
"step": 5025
|
| 1453 |
+
},
|
| 1454 |
+
{
|
| 1455 |
+
"epoch": 2.92,
|
| 1456 |
+
"grad_norm": 3.7619569301605225,
|
| 1457 |
+
"learning_rate": 1.4586014586014587e-06,
|
| 1458 |
+
"loss": 0.3951,
|
| 1459 |
+
"step": 5050
|
| 1460 |
+
},
|
| 1461 |
+
{
|
| 1462 |
+
"epoch": 2.94,
|
| 1463 |
+
"grad_norm": 2.763073205947876,
|
| 1464 |
+
"learning_rate": 1.1904761904761904e-06,
|
| 1465 |
+
"loss": 0.287,
|
| 1466 |
+
"step": 5075
|
| 1467 |
+
},
|
| 1468 |
+
{
|
| 1469 |
+
"epoch": 2.95,
|
| 1470 |
+
"grad_norm": 7.337412357330322,
|
| 1471 |
+
"learning_rate": 9.223509223509224e-07,
|
| 1472 |
+
"loss": 0.4416,
|
| 1473 |
+
"step": 5100
|
| 1474 |
+
},
|
| 1475 |
+
{
|
| 1476 |
+
"epoch": 2.97,
|
| 1477 |
+
"grad_norm": 4.266438961029053,
|
| 1478 |
+
"learning_rate": 6.542256542256542e-07,
|
| 1479 |
+
"loss": 0.5275,
|
| 1480 |
+
"step": 5125
|
| 1481 |
+
},
|
| 1482 |
+
{
|
| 1483 |
+
"epoch": 2.98,
|
| 1484 |
+
"grad_norm": 8.12879753112793,
|
| 1485 |
+
"learning_rate": 3.8610038610038613e-07,
|
| 1486 |
+
"loss": 0.4297,
|
| 1487 |
+
"step": 5150
|
| 1488 |
+
},
|
| 1489 |
+
{
|
| 1490 |
+
"epoch": 3.0,
|
| 1491 |
+
"grad_norm": 6.199108123779297,
|
| 1492 |
+
"learning_rate": 1.1797511797511798e-07,
|
| 1493 |
+
"loss": 0.4389,
|
| 1494 |
+
"step": 5175
|
| 1495 |
+
},
|
| 1496 |
+
{
|
| 1497 |
+
"epoch": 3.0,
|
| 1498 |
+
"eval_accuracy": 0.8602430555555556,
|
| 1499 |
+
"eval_f1_macro": 0.6149830093941424,
|
| 1500 |
+
"eval_f1_micro": 0.8602430555555556,
|
| 1501 |
+
"eval_f1_weighted": 0.8515059109185544,
|
| 1502 |
+
"eval_loss": 0.4315283000469208,
|
| 1503 |
+
"eval_precision_macro": 0.7610988679415244,
|
| 1504 |
+
"eval_precision_micro": 0.8602430555555556,
|
| 1505 |
+
"eval_precision_weighted": 0.8532444856848228,
|
| 1506 |
+
"eval_recall_macro": 0.5527145295483504,
|
| 1507 |
+
"eval_recall_micro": 0.8602430555555556,
|
| 1508 |
+
"eval_recall_weighted": 0.8602430555555556,
|
| 1509 |
+
"eval_runtime": 3373.7409,
|
| 1510 |
+
"eval_samples_per_second": 1.024,
|
| 1511 |
+
"eval_steps_per_second": 0.064,
|
| 1512 |
+
"step": 5181
|
| 1513 |
+
}
|
| 1514 |
+
],
|
| 1515 |
+
"logging_steps": 25,
|
| 1516 |
+
"max_steps": 5181,
|
| 1517 |
+
"num_input_tokens_seen": 0,
|
| 1518 |
+
"num_train_epochs": 3,
|
| 1519 |
+
"save_steps": 500,
|
| 1520 |
+
"total_flos": 1.135272556528692e+19,
|
| 1521 |
+
"train_batch_size": 8,
|
| 1522 |
+
"trial_name": null,
|
| 1523 |
+
"trial_params": null
|
| 1524 |
+
}
|
checkpoint-5181/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d8cf9cc5217dd984b88cf855ba871f8174f809b8ece0ada12155d52dd6c77308
|
| 3 |
+
size 4920
|
config.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "google/vit-large-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": 1024,
|
| 12 |
+
"id2label": {
|
| 13 |
+
"0": "altright",
|
| 14 |
+
"1": "bluesky",
|
| 15 |
+
"2": "facebook",
|
| 16 |
+
"3": "fediverse",
|
| 17 |
+
"4": "instagram",
|
| 18 |
+
"5": "irrelevant",
|
| 19 |
+
"6": "ngl",
|
| 20 |
+
"7": "reddit",
|
| 21 |
+
"8": "threads",
|
| 22 |
+
"9": "tumblr",
|
| 23 |
+
"10": "twitter"
|
| 24 |
+
},
|
| 25 |
+
"image_size": 224,
|
| 26 |
+
"initializer_range": 0.02,
|
| 27 |
+
"intermediate_size": 4096,
|
| 28 |
+
"label2id": {
|
| 29 |
+
"altright": 0,
|
| 30 |
+
"bluesky": 1,
|
| 31 |
+
"facebook": 2,
|
| 32 |
+
"fediverse": 3,
|
| 33 |
+
"instagram": 4,
|
| 34 |
+
"irrelevant": 5,
|
| 35 |
+
"ngl": 6,
|
| 36 |
+
"reddit": 7,
|
| 37 |
+
"threads": 8,
|
| 38 |
+
"tumblr": 9,
|
| 39 |
+
"twitter": 10
|
| 40 |
+
},
|
| 41 |
+
"layer_norm_eps": 1e-12,
|
| 42 |
+
"model_type": "vit",
|
| 43 |
+
"num_attention_heads": 16,
|
| 44 |
+
"num_channels": 3,
|
| 45 |
+
"num_hidden_layers": 24,
|
| 46 |
+
"patch_size": 16,
|
| 47 |
+
"problem_type": "single_label_classification",
|
| 48 |
+
"qkv_bias": true,
|
| 49 |
+
"torch_dtype": "float32",
|
| 50 |
+
"transformers_version": "4.39.3"
|
| 51 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eb13c4b35ce597cb88a875a80db2847e13688ae876bf69bd6a658d707c9e1ca5
|
| 3 |
+
size 1213298172
|
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 |
+
}
|
runs/Apr15_18-44-28_496e75b93dc4/events.out.tfevents.1713206669.496e75b93dc4.24181.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a79c786e9cbeaa254f4714037c28e6a5a55e26eedd0415b62564706adf2f0489
|
| 3 |
+
size 51500
|
runs/Apr15_18-44-28_496e75b93dc4/events.out.tfevents.1713286725.496e75b93dc4.24181.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bfd8794b75e04ecf6d2dc53d79f89032f56d4a943065f1ac8ca1666c98414586
|
| 3 |
+
size 921
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d8cf9cc5217dd984b88cf855ba871f8174f809b8ece0ada12155d52dd6c77308
|
| 3 |
+
size 4920
|
training_params.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"data_path": "xblock-large-patch2-224/autotrain-data",
|
| 3 |
+
"model": "google/vit-large-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-large-patch2-224",
|
| 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-large-patch2-224",
|
| 25 |
+
"evaluation_strategy": "epoch",
|
| 26 |
+
"image_column": "autotrain_image",
|
| 27 |
+
"target_column": "autotrain_label",
|
| 28 |
+
"log": "tensorboard"
|
| 29 |
+
}
|