yay
Browse files- README.md +78 -0
- all_results.json +13 -0
- config.json +42 -0
- eval_results.json +8 -0
- model.safetensors +3 -0
- preprocessor_config.json +36 -0
- runs/Jun17_09-47-11_d38a0241bb1c/events.out.tfevents.1718617637.d38a0241bb1c.6107.0 +3 -0
- runs/Jun17_09-47-11_d38a0241bb1c/events.out.tfevents.1718618209.d38a0241bb1c.6107.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +1406 -0
- training_args.bin +3 -0
README.md
ADDED
|
@@ -0,0 +1,78 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model: google/vit-base-patch16-224-in21k
|
| 4 |
+
tags:
|
| 5 |
+
- image-classification
|
| 6 |
+
- generated_from_trainer
|
| 7 |
+
metrics:
|
| 8 |
+
- accuracy
|
| 9 |
+
model-index:
|
| 10 |
+
- name: vit-base-beans
|
| 11 |
+
results: []
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 15 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 16 |
+
|
| 17 |
+
# vit-base-beans
|
| 18 |
+
|
| 19 |
+
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the ahishamm/HAM_db_enhanced_balanced_reduced_50_20_20_50 dataset.
|
| 20 |
+
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 0.5305
|
| 22 |
+
- Accuracy: 0.8451
|
| 23 |
+
|
| 24 |
+
## Model description
|
| 25 |
+
|
| 26 |
+
More information needed
|
| 27 |
+
|
| 28 |
+
## Intended uses & limitations
|
| 29 |
+
|
| 30 |
+
More information needed
|
| 31 |
+
|
| 32 |
+
## Training and evaluation data
|
| 33 |
+
|
| 34 |
+
More information needed
|
| 35 |
+
|
| 36 |
+
## Training procedure
|
| 37 |
+
|
| 38 |
+
### Training hyperparameters
|
| 39 |
+
|
| 40 |
+
The following hyperparameters were used during training:
|
| 41 |
+
- learning_rate: 0.0002
|
| 42 |
+
- train_batch_size: 16
|
| 43 |
+
- eval_batch_size: 8
|
| 44 |
+
- seed: 42
|
| 45 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 46 |
+
- lr_scheduler_type: linear
|
| 47 |
+
- num_epochs: 4
|
| 48 |
+
- mixed_precision_training: Native AMP
|
| 49 |
+
|
| 50 |
+
### Training results
|
| 51 |
+
|
| 52 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 53 |
+
|:-------------:|:------:|:----:|:---------------:|:--------:|
|
| 54 |
+
| 1.0791 | 0.2304 | 100 | 1.0348 | 0.6335 |
|
| 55 |
+
| 0.9415 | 0.4608 | 200 | 0.9576 | 0.6449 |
|
| 56 |
+
| 0.7839 | 0.6912 | 300 | 0.8963 | 0.6662 |
|
| 57 |
+
| 0.7181 | 0.9217 | 400 | 0.8479 | 0.6963 |
|
| 58 |
+
| 0.3995 | 1.1521 | 500 | 0.7821 | 0.7170 |
|
| 59 |
+
| 0.5025 | 1.3825 | 600 | 0.6300 | 0.7837 |
|
| 60 |
+
| 0.4985 | 1.6129 | 700 | 0.7059 | 0.7490 |
|
| 61 |
+
| 0.4388 | 1.8433 | 800 | 0.5893 | 0.7857 |
|
| 62 |
+
| 0.2389 | 2.0737 | 900 | 0.5929 | 0.8077 |
|
| 63 |
+
| 0.2767 | 2.3041 | 1000 | 0.5795 | 0.8091 |
|
| 64 |
+
| 0.2387 | 2.5346 | 1100 | 0.6100 | 0.8091 |
|
| 65 |
+
| 0.1691 | 2.7650 | 1200 | 0.6175 | 0.8071 |
|
| 66 |
+
| 0.1738 | 2.9954 | 1300 | 0.5877 | 0.8198 |
|
| 67 |
+
| 0.0397 | 3.2258 | 1400 | 0.5766 | 0.8358 |
|
| 68 |
+
| 0.03 | 3.4562 | 1500 | 0.5681 | 0.8371 |
|
| 69 |
+
| 0.092 | 3.6866 | 1600 | 0.5305 | 0.8451 |
|
| 70 |
+
| 0.0416 | 3.9171 | 1700 | 0.5443 | 0.8471 |
|
| 71 |
+
|
| 72 |
+
|
| 73 |
+
### Framework versions
|
| 74 |
+
|
| 75 |
+
- Transformers 4.41.2
|
| 76 |
+
- Pytorch 2.3.0+cu121
|
| 77 |
+
- Datasets 2.20.0
|
| 78 |
+
- Tokenizers 0.19.1
|
all_results.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 4.0,
|
| 3 |
+
"eval_accuracy": 0.8451268357810414,
|
| 4 |
+
"eval_loss": 0.5304816365242004,
|
| 5 |
+
"eval_runtime": 12.1921,
|
| 6 |
+
"eval_samples_per_second": 122.867,
|
| 7 |
+
"eval_steps_per_second": 15.42,
|
| 8 |
+
"total_flos": 2.1525139607212524e+18,
|
| 9 |
+
"train_loss": 0.4232822818690181,
|
| 10 |
+
"train_runtime": 559.5799,
|
| 11 |
+
"train_samples_per_second": 49.637,
|
| 12 |
+
"train_steps_per_second": 3.102
|
| 13 |
+
}
|
config.json
ADDED
|
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "google/vit-base-patch16-224-in21k",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"ViTForImageClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.0,
|
| 7 |
+
"encoder_stride": 16,
|
| 8 |
+
"hidden_act": "gelu",
|
| 9 |
+
"hidden_dropout_prob": 0.0,
|
| 10 |
+
"hidden_size": 768,
|
| 11 |
+
"id2label": {
|
| 12 |
+
"0": "akiec",
|
| 13 |
+
"1": "bcc",
|
| 14 |
+
"2": "bkl",
|
| 15 |
+
"3": "df",
|
| 16 |
+
"4": "mel",
|
| 17 |
+
"5": "nv",
|
| 18 |
+
"6": "vasc"
|
| 19 |
+
},
|
| 20 |
+
"image_size": 224,
|
| 21 |
+
"initializer_range": 0.02,
|
| 22 |
+
"intermediate_size": 3072,
|
| 23 |
+
"label2id": {
|
| 24 |
+
"akiec": "0",
|
| 25 |
+
"bcc": "1",
|
| 26 |
+
"bkl": "2",
|
| 27 |
+
"df": "3",
|
| 28 |
+
"mel": "4",
|
| 29 |
+
"nv": "5",
|
| 30 |
+
"vasc": "6"
|
| 31 |
+
},
|
| 32 |
+
"layer_norm_eps": 1e-12,
|
| 33 |
+
"model_type": "vit",
|
| 34 |
+
"num_attention_heads": 12,
|
| 35 |
+
"num_channels": 3,
|
| 36 |
+
"num_hidden_layers": 12,
|
| 37 |
+
"patch_size": 16,
|
| 38 |
+
"problem_type": "single_label_classification",
|
| 39 |
+
"qkv_bias": true,
|
| 40 |
+
"torch_dtype": "float32",
|
| 41 |
+
"transformers_version": "4.41.2"
|
| 42 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 4.0,
|
| 3 |
+
"eval_accuracy": 0.8451268357810414,
|
| 4 |
+
"eval_loss": 0.5304816365242004,
|
| 5 |
+
"eval_runtime": 12.1921,
|
| 6 |
+
"eval_samples_per_second": 122.867,
|
| 7 |
+
"eval_steps_per_second": 15.42
|
| 8 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c50d54887b112813f65a3f6a29d4f8ab8283e6ebdc2346ae5bfd8a698f082669
|
| 3 |
+
size 343239356
|
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/Jun17_09-47-11_d38a0241bb1c/events.out.tfevents.1718617637.d38a0241bb1c.6107.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a3fd03c2aa467f2e20416689acc759f9b9af78d90fc73186bca8b1771f738345
|
| 3 |
+
size 47243
|
runs/Jun17_09-47-11_d38a0241bb1c/events.out.tfevents.1718618209.d38a0241bb1c.6107.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4eb402f867490e011e329ea5ab7a2503a8cbf8bb69eea1d1b36ccb71c38e540b
|
| 3 |
+
size 734
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 4.0,
|
| 3 |
+
"total_flos": 2.1525139607212524e+18,
|
| 4 |
+
"train_loss": 0.4232822818690181,
|
| 5 |
+
"train_runtime": 559.5799,
|
| 6 |
+
"train_samples_per_second": 49.637,
|
| 7 |
+
"train_steps_per_second": 3.102
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1406 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.5304816365242004,
|
| 3 |
+
"best_model_checkpoint": "./vit-base-beans/checkpoint-1600",
|
| 4 |
+
"epoch": 4.0,
|
| 5 |
+
"eval_steps": 100,
|
| 6 |
+
"global_step": 1736,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.02304147465437788,
|
| 13 |
+
"grad_norm": 2.396202564239502,
|
| 14 |
+
"learning_rate": 0.00019884792626728113,
|
| 15 |
+
"loss": 1.8485,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.04608294930875576,
|
| 20 |
+
"grad_norm": 1.289166808128357,
|
| 21 |
+
"learning_rate": 0.00019769585253456222,
|
| 22 |
+
"loss": 1.5911,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.06912442396313365,
|
| 27 |
+
"grad_norm": 2.512033462524414,
|
| 28 |
+
"learning_rate": 0.00019654377880184333,
|
| 29 |
+
"loss": 1.4806,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.09216589861751152,
|
| 34 |
+
"grad_norm": 2.6234657764434814,
|
| 35 |
+
"learning_rate": 0.00019539170506912442,
|
| 36 |
+
"loss": 1.3684,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.1152073732718894,
|
| 41 |
+
"grad_norm": 2.335149049758911,
|
| 42 |
+
"learning_rate": 0.00019423963133640554,
|
| 43 |
+
"loss": 1.4012,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.1382488479262673,
|
| 48 |
+
"grad_norm": 3.386568546295166,
|
| 49 |
+
"learning_rate": 0.00019308755760368663,
|
| 50 |
+
"loss": 1.2248,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.16129032258064516,
|
| 55 |
+
"grad_norm": 1.9273797273635864,
|
| 56 |
+
"learning_rate": 0.00019193548387096775,
|
| 57 |
+
"loss": 1.144,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.18433179723502305,
|
| 62 |
+
"grad_norm": 2.2117414474487305,
|
| 63 |
+
"learning_rate": 0.00019078341013824886,
|
| 64 |
+
"loss": 1.0101,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.2073732718894009,
|
| 69 |
+
"grad_norm": 3.1132171154022217,
|
| 70 |
+
"learning_rate": 0.00018963133640552998,
|
| 71 |
+
"loss": 1.1411,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.2304147465437788,
|
| 76 |
+
"grad_norm": 3.0585570335388184,
|
| 77 |
+
"learning_rate": 0.00018847926267281107,
|
| 78 |
+
"loss": 1.0791,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.2304147465437788,
|
| 83 |
+
"eval_accuracy": 0.6335113484646195,
|
| 84 |
+
"eval_loss": 1.0347875356674194,
|
| 85 |
+
"eval_runtime": 11.9052,
|
| 86 |
+
"eval_samples_per_second": 125.828,
|
| 87 |
+
"eval_steps_per_second": 15.791,
|
| 88 |
+
"step": 100
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"epoch": 0.2534562211981567,
|
| 92 |
+
"grad_norm": 2.400747299194336,
|
| 93 |
+
"learning_rate": 0.00018732718894009219,
|
| 94 |
+
"loss": 1.04,
|
| 95 |
+
"step": 110
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"epoch": 0.2764976958525346,
|
| 99 |
+
"grad_norm": 2.432607412338257,
|
| 100 |
+
"learning_rate": 0.00018617511520737328,
|
| 101 |
+
"loss": 1.0396,
|
| 102 |
+
"step": 120
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"epoch": 0.2995391705069124,
|
| 106 |
+
"grad_norm": 2.5169568061828613,
|
| 107 |
+
"learning_rate": 0.0001850230414746544,
|
| 108 |
+
"loss": 0.9925,
|
| 109 |
+
"step": 130
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"epoch": 0.3225806451612903,
|
| 113 |
+
"grad_norm": 2.450554847717285,
|
| 114 |
+
"learning_rate": 0.00018387096774193548,
|
| 115 |
+
"loss": 1.0361,
|
| 116 |
+
"step": 140
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 0.3456221198156682,
|
| 120 |
+
"grad_norm": 1.5931885242462158,
|
| 121 |
+
"learning_rate": 0.0001827188940092166,
|
| 122 |
+
"loss": 0.9851,
|
| 123 |
+
"step": 150
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 0.3686635944700461,
|
| 127 |
+
"grad_norm": 1.8019052743911743,
|
| 128 |
+
"learning_rate": 0.0001815668202764977,
|
| 129 |
+
"loss": 0.8847,
|
| 130 |
+
"step": 160
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"epoch": 0.391705069124424,
|
| 134 |
+
"grad_norm": 2.283034086227417,
|
| 135 |
+
"learning_rate": 0.0001804147465437788,
|
| 136 |
+
"loss": 0.8507,
|
| 137 |
+
"step": 170
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 0.4147465437788018,
|
| 141 |
+
"grad_norm": 2.5878796577453613,
|
| 142 |
+
"learning_rate": 0.0001792626728110599,
|
| 143 |
+
"loss": 0.9579,
|
| 144 |
+
"step": 180
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 0.4377880184331797,
|
| 148 |
+
"grad_norm": 3.469618558883667,
|
| 149 |
+
"learning_rate": 0.000178110599078341,
|
| 150 |
+
"loss": 0.9453,
|
| 151 |
+
"step": 190
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"epoch": 0.4608294930875576,
|
| 155 |
+
"grad_norm": 1.9743025302886963,
|
| 156 |
+
"learning_rate": 0.00017695852534562213,
|
| 157 |
+
"loss": 0.9415,
|
| 158 |
+
"step": 200
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 0.4608294930875576,
|
| 162 |
+
"eval_accuracy": 0.6448598130841121,
|
| 163 |
+
"eval_loss": 0.9576324820518494,
|
| 164 |
+
"eval_runtime": 11.862,
|
| 165 |
+
"eval_samples_per_second": 126.285,
|
| 166 |
+
"eval_steps_per_second": 15.849,
|
| 167 |
+
"step": 200
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"epoch": 0.4838709677419355,
|
| 171 |
+
"grad_norm": 3.031723976135254,
|
| 172 |
+
"learning_rate": 0.00017580645161290325,
|
| 173 |
+
"loss": 0.7819,
|
| 174 |
+
"step": 210
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 0.5069124423963134,
|
| 178 |
+
"grad_norm": 2.2470805644989014,
|
| 179 |
+
"learning_rate": 0.00017465437788018436,
|
| 180 |
+
"loss": 0.8163,
|
| 181 |
+
"step": 220
|
| 182 |
+
},
|
| 183 |
+
{
|
| 184 |
+
"epoch": 0.5299539170506913,
|
| 185 |
+
"grad_norm": 1.723471760749817,
|
| 186 |
+
"learning_rate": 0.00017350230414746545,
|
| 187 |
+
"loss": 0.6728,
|
| 188 |
+
"step": 230
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 0.5529953917050692,
|
| 192 |
+
"grad_norm": 3.93212628364563,
|
| 193 |
+
"learning_rate": 0.00017235023041474657,
|
| 194 |
+
"loss": 0.684,
|
| 195 |
+
"step": 240
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 0.576036866359447,
|
| 199 |
+
"grad_norm": 1.4867981672286987,
|
| 200 |
+
"learning_rate": 0.00017119815668202766,
|
| 201 |
+
"loss": 0.8527,
|
| 202 |
+
"step": 250
|
| 203 |
+
},
|
| 204 |
+
{
|
| 205 |
+
"epoch": 0.5990783410138248,
|
| 206 |
+
"grad_norm": 2.4340641498565674,
|
| 207 |
+
"learning_rate": 0.00017004608294930878,
|
| 208 |
+
"loss": 1.0102,
|
| 209 |
+
"step": 260
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 0.6221198156682027,
|
| 213 |
+
"grad_norm": 2.8441660404205322,
|
| 214 |
+
"learning_rate": 0.00016889400921658987,
|
| 215 |
+
"loss": 0.7739,
|
| 216 |
+
"step": 270
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"epoch": 0.6451612903225806,
|
| 220 |
+
"grad_norm": 1.6598294973373413,
|
| 221 |
+
"learning_rate": 0.00016774193548387098,
|
| 222 |
+
"loss": 0.7442,
|
| 223 |
+
"step": 280
|
| 224 |
+
},
|
| 225 |
+
{
|
| 226 |
+
"epoch": 0.6682027649769585,
|
| 227 |
+
"grad_norm": 3.455202102661133,
|
| 228 |
+
"learning_rate": 0.00016658986175115207,
|
| 229 |
+
"loss": 0.7643,
|
| 230 |
+
"step": 290
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 0.6912442396313364,
|
| 234 |
+
"grad_norm": 2.480116367340088,
|
| 235 |
+
"learning_rate": 0.0001654377880184332,
|
| 236 |
+
"loss": 0.7839,
|
| 237 |
+
"step": 300
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"epoch": 0.6912442396313364,
|
| 241 |
+
"eval_accuracy": 0.6662216288384513,
|
| 242 |
+
"eval_loss": 0.89629727602005,
|
| 243 |
+
"eval_runtime": 11.7103,
|
| 244 |
+
"eval_samples_per_second": 127.921,
|
| 245 |
+
"eval_steps_per_second": 16.054,
|
| 246 |
+
"step": 300
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"epoch": 0.7142857142857143,
|
| 250 |
+
"grad_norm": 3.3055620193481445,
|
| 251 |
+
"learning_rate": 0.00016428571428571428,
|
| 252 |
+
"loss": 0.639,
|
| 253 |
+
"step": 310
|
| 254 |
+
},
|
| 255 |
+
{
|
| 256 |
+
"epoch": 0.7373271889400922,
|
| 257 |
+
"grad_norm": 1.8542070388793945,
|
| 258 |
+
"learning_rate": 0.0001631336405529954,
|
| 259 |
+
"loss": 0.8931,
|
| 260 |
+
"step": 320
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 0.7603686635944701,
|
| 264 |
+
"grad_norm": 1.6089766025543213,
|
| 265 |
+
"learning_rate": 0.00016198156682027649,
|
| 266 |
+
"loss": 0.9023,
|
| 267 |
+
"step": 330
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 0.783410138248848,
|
| 271 |
+
"grad_norm": 1.5780836343765259,
|
| 272 |
+
"learning_rate": 0.0001608294930875576,
|
| 273 |
+
"loss": 0.7285,
|
| 274 |
+
"step": 340
|
| 275 |
+
},
|
| 276 |
+
{
|
| 277 |
+
"epoch": 0.8064516129032258,
|
| 278 |
+
"grad_norm": 3.153092384338379,
|
| 279 |
+
"learning_rate": 0.00015967741935483872,
|
| 280 |
+
"loss": 0.8702,
|
| 281 |
+
"step": 350
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 0.8294930875576036,
|
| 285 |
+
"grad_norm": 2.3161656856536865,
|
| 286 |
+
"learning_rate": 0.00015852534562211984,
|
| 287 |
+
"loss": 0.7343,
|
| 288 |
+
"step": 360
|
| 289 |
+
},
|
| 290 |
+
{
|
| 291 |
+
"epoch": 0.8525345622119815,
|
| 292 |
+
"grad_norm": 1.7923251390457153,
|
| 293 |
+
"learning_rate": 0.00015737327188940093,
|
| 294 |
+
"loss": 0.7986,
|
| 295 |
+
"step": 370
|
| 296 |
+
},
|
| 297 |
+
{
|
| 298 |
+
"epoch": 0.8755760368663594,
|
| 299 |
+
"grad_norm": 2.7093405723571777,
|
| 300 |
+
"learning_rate": 0.00015622119815668204,
|
| 301 |
+
"loss": 0.6377,
|
| 302 |
+
"step": 380
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"epoch": 0.8986175115207373,
|
| 306 |
+
"grad_norm": 4.7555251121521,
|
| 307 |
+
"learning_rate": 0.00015506912442396313,
|
| 308 |
+
"loss": 0.8223,
|
| 309 |
+
"step": 390
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"epoch": 0.9216589861751152,
|
| 313 |
+
"grad_norm": 2.78916072845459,
|
| 314 |
+
"learning_rate": 0.00015391705069124425,
|
| 315 |
+
"loss": 0.7181,
|
| 316 |
+
"step": 400
|
| 317 |
+
},
|
| 318 |
+
{
|
| 319 |
+
"epoch": 0.9216589861751152,
|
| 320 |
+
"eval_accuracy": 0.6962616822429907,
|
| 321 |
+
"eval_loss": 0.8479276299476624,
|
| 322 |
+
"eval_runtime": 11.6609,
|
| 323 |
+
"eval_samples_per_second": 128.464,
|
| 324 |
+
"eval_steps_per_second": 16.122,
|
| 325 |
+
"step": 400
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.9447004608294931,
|
| 329 |
+
"grad_norm": 2.4783871173858643,
|
| 330 |
+
"learning_rate": 0.00015276497695852537,
|
| 331 |
+
"loss": 0.7422,
|
| 332 |
+
"step": 410
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.967741935483871,
|
| 336 |
+
"grad_norm": 2.8775382041931152,
|
| 337 |
+
"learning_rate": 0.00015161290322580646,
|
| 338 |
+
"loss": 0.6255,
|
| 339 |
+
"step": 420
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.9907834101382489,
|
| 343 |
+
"grad_norm": 2.3851194381713867,
|
| 344 |
+
"learning_rate": 0.00015046082949308757,
|
| 345 |
+
"loss": 0.7266,
|
| 346 |
+
"step": 430
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 1.0138248847926268,
|
| 350 |
+
"grad_norm": 5.285385608673096,
|
| 351 |
+
"learning_rate": 0.00014930875576036866,
|
| 352 |
+
"loss": 0.6283,
|
| 353 |
+
"step": 440
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 1.0368663594470047,
|
| 357 |
+
"grad_norm": 1.691789984703064,
|
| 358 |
+
"learning_rate": 0.00014815668202764978,
|
| 359 |
+
"loss": 0.4918,
|
| 360 |
+
"step": 450
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 1.0599078341013826,
|
| 364 |
+
"grad_norm": 2.8921382427215576,
|
| 365 |
+
"learning_rate": 0.00014700460829493087,
|
| 366 |
+
"loss": 0.5787,
|
| 367 |
+
"step": 460
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 1.0829493087557605,
|
| 371 |
+
"grad_norm": 3.1509757041931152,
|
| 372 |
+
"learning_rate": 0.00014585253456221199,
|
| 373 |
+
"loss": 0.4906,
|
| 374 |
+
"step": 470
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 1.1059907834101383,
|
| 378 |
+
"grad_norm": 3.2979822158813477,
|
| 379 |
+
"learning_rate": 0.0001447004608294931,
|
| 380 |
+
"loss": 0.5715,
|
| 381 |
+
"step": 480
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 1.129032258064516,
|
| 385 |
+
"grad_norm": 3.3389899730682373,
|
| 386 |
+
"learning_rate": 0.00014354838709677422,
|
| 387 |
+
"loss": 0.5411,
|
| 388 |
+
"step": 490
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 1.1520737327188941,
|
| 392 |
+
"grad_norm": 0.9589664936065674,
|
| 393 |
+
"learning_rate": 0.0001423963133640553,
|
| 394 |
+
"loss": 0.3995,
|
| 395 |
+
"step": 500
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 1.1520737327188941,
|
| 399 |
+
"eval_accuracy": 0.7169559412550067,
|
| 400 |
+
"eval_loss": 0.7820530533790588,
|
| 401 |
+
"eval_runtime": 11.5056,
|
| 402 |
+
"eval_samples_per_second": 130.197,
|
| 403 |
+
"eval_steps_per_second": 16.34,
|
| 404 |
+
"step": 500
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 1.1751152073732718,
|
| 408 |
+
"grad_norm": 2.248042106628418,
|
| 409 |
+
"learning_rate": 0.00014124423963133643,
|
| 410 |
+
"loss": 0.5057,
|
| 411 |
+
"step": 510
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 1.1981566820276497,
|
| 415 |
+
"grad_norm": 3.944963216781616,
|
| 416 |
+
"learning_rate": 0.00014009216589861752,
|
| 417 |
+
"loss": 0.5005,
|
| 418 |
+
"step": 520
|
| 419 |
+
},
|
| 420 |
+
{
|
| 421 |
+
"epoch": 1.2211981566820276,
|
| 422 |
+
"grad_norm": 2.7981412410736084,
|
| 423 |
+
"learning_rate": 0.00013894009216589863,
|
| 424 |
+
"loss": 0.6703,
|
| 425 |
+
"step": 530
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"epoch": 1.2442396313364055,
|
| 429 |
+
"grad_norm": 1.683069109916687,
|
| 430 |
+
"learning_rate": 0.00013778801843317972,
|
| 431 |
+
"loss": 0.5394,
|
| 432 |
+
"step": 540
|
| 433 |
+
},
|
| 434 |
+
{
|
| 435 |
+
"epoch": 1.2672811059907834,
|
| 436 |
+
"grad_norm": 1.2122957706451416,
|
| 437 |
+
"learning_rate": 0.00013663594470046084,
|
| 438 |
+
"loss": 0.4775,
|
| 439 |
+
"step": 550
|
| 440 |
+
},
|
| 441 |
+
{
|
| 442 |
+
"epoch": 1.2903225806451613,
|
| 443 |
+
"grad_norm": 1.4005225896835327,
|
| 444 |
+
"learning_rate": 0.00013548387096774193,
|
| 445 |
+
"loss": 0.4467,
|
| 446 |
+
"step": 560
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 1.3133640552995391,
|
| 450 |
+
"grad_norm": 2.5969114303588867,
|
| 451 |
+
"learning_rate": 0.00013433179723502305,
|
| 452 |
+
"loss": 0.4289,
|
| 453 |
+
"step": 570
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 1.336405529953917,
|
| 457 |
+
"grad_norm": 3.344553232192993,
|
| 458 |
+
"learning_rate": 0.00013317972350230414,
|
| 459 |
+
"loss": 0.4631,
|
| 460 |
+
"step": 580
|
| 461 |
+
},
|
| 462 |
+
{
|
| 463 |
+
"epoch": 1.359447004608295,
|
| 464 |
+
"grad_norm": 1.6798585653305054,
|
| 465 |
+
"learning_rate": 0.00013202764976958525,
|
| 466 |
+
"loss": 0.4329,
|
| 467 |
+
"step": 590
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"epoch": 1.3824884792626728,
|
| 471 |
+
"grad_norm": 1.3849396705627441,
|
| 472 |
+
"learning_rate": 0.00013087557603686637,
|
| 473 |
+
"loss": 0.5025,
|
| 474 |
+
"step": 600
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"epoch": 1.3824884792626728,
|
| 478 |
+
"eval_accuracy": 0.7837116154873164,
|
| 479 |
+
"eval_loss": 0.6299713253974915,
|
| 480 |
+
"eval_runtime": 11.705,
|
| 481 |
+
"eval_samples_per_second": 127.979,
|
| 482 |
+
"eval_steps_per_second": 16.061,
|
| 483 |
+
"step": 600
|
| 484 |
+
},
|
| 485 |
+
{
|
| 486 |
+
"epoch": 1.4055299539170507,
|
| 487 |
+
"grad_norm": 2.550548791885376,
|
| 488 |
+
"learning_rate": 0.00012972350230414746,
|
| 489 |
+
"loss": 0.4463,
|
| 490 |
+
"step": 610
|
| 491 |
+
},
|
| 492 |
+
{
|
| 493 |
+
"epoch": 1.4285714285714286,
|
| 494 |
+
"grad_norm": 3.063411235809326,
|
| 495 |
+
"learning_rate": 0.00012857142857142858,
|
| 496 |
+
"loss": 0.3624,
|
| 497 |
+
"step": 620
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"epoch": 1.4516129032258065,
|
| 501 |
+
"grad_norm": 6.676961898803711,
|
| 502 |
+
"learning_rate": 0.0001274193548387097,
|
| 503 |
+
"loss": 0.4446,
|
| 504 |
+
"step": 630
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"epoch": 1.4746543778801844,
|
| 508 |
+
"grad_norm": 0.8720624446868896,
|
| 509 |
+
"learning_rate": 0.0001262672811059908,
|
| 510 |
+
"loss": 0.5162,
|
| 511 |
+
"step": 640
|
| 512 |
+
},
|
| 513 |
+
{
|
| 514 |
+
"epoch": 1.4976958525345623,
|
| 515 |
+
"grad_norm": 2.214848041534424,
|
| 516 |
+
"learning_rate": 0.0001251152073732719,
|
| 517 |
+
"loss": 0.2978,
|
| 518 |
+
"step": 650
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 1.52073732718894,
|
| 522 |
+
"grad_norm": 5.083272457122803,
|
| 523 |
+
"learning_rate": 0.00012396313364055302,
|
| 524 |
+
"loss": 0.5157,
|
| 525 |
+
"step": 660
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"epoch": 1.543778801843318,
|
| 529 |
+
"grad_norm": 4.042588710784912,
|
| 530 |
+
"learning_rate": 0.0001228110599078341,
|
| 531 |
+
"loss": 0.5338,
|
| 532 |
+
"step": 670
|
| 533 |
+
},
|
| 534 |
+
{
|
| 535 |
+
"epoch": 1.5668202764976957,
|
| 536 |
+
"grad_norm": 3.1029160022735596,
|
| 537 |
+
"learning_rate": 0.00012165898617511522,
|
| 538 |
+
"loss": 0.4767,
|
| 539 |
+
"step": 680
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 1.5898617511520738,
|
| 543 |
+
"grad_norm": 1.4430710077285767,
|
| 544 |
+
"learning_rate": 0.00012050691244239631,
|
| 545 |
+
"loss": 0.5531,
|
| 546 |
+
"step": 690
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"epoch": 1.6129032258064515,
|
| 550 |
+
"grad_norm": 11.178030967712402,
|
| 551 |
+
"learning_rate": 0.00011935483870967743,
|
| 552 |
+
"loss": 0.4985,
|
| 553 |
+
"step": 700
|
| 554 |
+
},
|
| 555 |
+
{
|
| 556 |
+
"epoch": 1.6129032258064515,
|
| 557 |
+
"eval_accuracy": 0.7489986648865153,
|
| 558 |
+
"eval_loss": 0.7058817744255066,
|
| 559 |
+
"eval_runtime": 11.9139,
|
| 560 |
+
"eval_samples_per_second": 125.736,
|
| 561 |
+
"eval_steps_per_second": 15.78,
|
| 562 |
+
"step": 700
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 1.6359447004608296,
|
| 566 |
+
"grad_norm": 3.918297529220581,
|
| 567 |
+
"learning_rate": 0.00011820276497695852,
|
| 568 |
+
"loss": 0.5471,
|
| 569 |
+
"step": 710
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 1.6589861751152073,
|
| 573 |
+
"grad_norm": 2.7170467376708984,
|
| 574 |
+
"learning_rate": 0.00011705069124423964,
|
| 575 |
+
"loss": 0.4797,
|
| 576 |
+
"step": 720
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 1.6820276497695854,
|
| 580 |
+
"grad_norm": 1.0436949729919434,
|
| 581 |
+
"learning_rate": 0.00011589861751152074,
|
| 582 |
+
"loss": 0.427,
|
| 583 |
+
"step": 730
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 1.705069124423963,
|
| 587 |
+
"grad_norm": 3.6829638481140137,
|
| 588 |
+
"learning_rate": 0.00011474654377880186,
|
| 589 |
+
"loss": 0.5121,
|
| 590 |
+
"step": 740
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 1.728110599078341,
|
| 594 |
+
"grad_norm": 1.8748345375061035,
|
| 595 |
+
"learning_rate": 0.00011359447004608295,
|
| 596 |
+
"loss": 0.4227,
|
| 597 |
+
"step": 750
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 1.7511520737327189,
|
| 601 |
+
"grad_norm": 4.548758506774902,
|
| 602 |
+
"learning_rate": 0.00011244239631336406,
|
| 603 |
+
"loss": 0.3164,
|
| 604 |
+
"step": 760
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 1.7741935483870968,
|
| 608 |
+
"grad_norm": 3.4847280979156494,
|
| 609 |
+
"learning_rate": 0.00011129032258064515,
|
| 610 |
+
"loss": 0.5092,
|
| 611 |
+
"step": 770
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 1.7972350230414746,
|
| 615 |
+
"grad_norm": 1.8869714736938477,
|
| 616 |
+
"learning_rate": 0.00011013824884792627,
|
| 617 |
+
"loss": 0.4472,
|
| 618 |
+
"step": 780
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 1.8202764976958525,
|
| 622 |
+
"grad_norm": 3.899409770965576,
|
| 623 |
+
"learning_rate": 0.00010898617511520739,
|
| 624 |
+
"loss": 0.4708,
|
| 625 |
+
"step": 790
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 1.8433179723502304,
|
| 629 |
+
"grad_norm": 1.543060541152954,
|
| 630 |
+
"learning_rate": 0.00010783410138248849,
|
| 631 |
+
"loss": 0.4388,
|
| 632 |
+
"step": 800
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 1.8433179723502304,
|
| 636 |
+
"eval_accuracy": 0.7857142857142857,
|
| 637 |
+
"eval_loss": 0.5893343091011047,
|
| 638 |
+
"eval_runtime": 11.4174,
|
| 639 |
+
"eval_samples_per_second": 131.203,
|
| 640 |
+
"eval_steps_per_second": 16.466,
|
| 641 |
+
"step": 800
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 1.8663594470046083,
|
| 645 |
+
"grad_norm": 5.587724208831787,
|
| 646 |
+
"learning_rate": 0.0001066820276497696,
|
| 647 |
+
"loss": 0.4264,
|
| 648 |
+
"step": 810
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 1.8894009216589862,
|
| 652 |
+
"grad_norm": 7.794037342071533,
|
| 653 |
+
"learning_rate": 0.0001055299539170507,
|
| 654 |
+
"loss": 0.4513,
|
| 655 |
+
"step": 820
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 1.912442396313364,
|
| 659 |
+
"grad_norm": 3.597796678543091,
|
| 660 |
+
"learning_rate": 0.00010437788018433181,
|
| 661 |
+
"loss": 0.437,
|
| 662 |
+
"step": 830
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 1.935483870967742,
|
| 666 |
+
"grad_norm": 2.825336217880249,
|
| 667 |
+
"learning_rate": 0.0001032258064516129,
|
| 668 |
+
"loss": 0.5202,
|
| 669 |
+
"step": 840
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 1.9585253456221197,
|
| 673 |
+
"grad_norm": 1.8002281188964844,
|
| 674 |
+
"learning_rate": 0.00010207373271889402,
|
| 675 |
+
"loss": 0.3283,
|
| 676 |
+
"step": 850
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"epoch": 1.9815668202764978,
|
| 680 |
+
"grad_norm": 6.496976375579834,
|
| 681 |
+
"learning_rate": 0.00010092165898617512,
|
| 682 |
+
"loss": 0.2887,
|
| 683 |
+
"step": 860
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 2.0046082949308754,
|
| 687 |
+
"grad_norm": 2.1674392223358154,
|
| 688 |
+
"learning_rate": 9.976958525345623e-05,
|
| 689 |
+
"loss": 0.3299,
|
| 690 |
+
"step": 870
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 2.0276497695852536,
|
| 694 |
+
"grad_norm": 0.475057989358902,
|
| 695 |
+
"learning_rate": 9.861751152073733e-05,
|
| 696 |
+
"loss": 0.2049,
|
| 697 |
+
"step": 880
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 2.0506912442396312,
|
| 701 |
+
"grad_norm": 2.232353687286377,
|
| 702 |
+
"learning_rate": 9.746543778801845e-05,
|
| 703 |
+
"loss": 0.2598,
|
| 704 |
+
"step": 890
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 2.0737327188940093,
|
| 708 |
+
"grad_norm": 3.595874309539795,
|
| 709 |
+
"learning_rate": 9.631336405529955e-05,
|
| 710 |
+
"loss": 0.2389,
|
| 711 |
+
"step": 900
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 2.0737327188940093,
|
| 715 |
+
"eval_accuracy": 0.807743658210948,
|
| 716 |
+
"eval_loss": 0.5928804278373718,
|
| 717 |
+
"eval_runtime": 11.7831,
|
| 718 |
+
"eval_samples_per_second": 127.131,
|
| 719 |
+
"eval_steps_per_second": 15.955,
|
| 720 |
+
"step": 900
|
| 721 |
+
},
|
| 722 |
+
{
|
| 723 |
+
"epoch": 2.096774193548387,
|
| 724 |
+
"grad_norm": 2.4027860164642334,
|
| 725 |
+
"learning_rate": 9.516129032258065e-05,
|
| 726 |
+
"loss": 0.2023,
|
| 727 |
+
"step": 910
|
| 728 |
+
},
|
| 729 |
+
{
|
| 730 |
+
"epoch": 2.119815668202765,
|
| 731 |
+
"grad_norm": 4.1582560539245605,
|
| 732 |
+
"learning_rate": 9.400921658986176e-05,
|
| 733 |
+
"loss": 0.2389,
|
| 734 |
+
"step": 920
|
| 735 |
+
},
|
| 736 |
+
{
|
| 737 |
+
"epoch": 2.142857142857143,
|
| 738 |
+
"grad_norm": 3.8105199337005615,
|
| 739 |
+
"learning_rate": 9.285714285714286e-05,
|
| 740 |
+
"loss": 0.2054,
|
| 741 |
+
"step": 930
|
| 742 |
+
},
|
| 743 |
+
{
|
| 744 |
+
"epoch": 2.165898617511521,
|
| 745 |
+
"grad_norm": 4.042884826660156,
|
| 746 |
+
"learning_rate": 9.170506912442398e-05,
|
| 747 |
+
"loss": 0.2445,
|
| 748 |
+
"step": 940
|
| 749 |
+
},
|
| 750 |
+
{
|
| 751 |
+
"epoch": 2.1889400921658986,
|
| 752 |
+
"grad_norm": 3.3385071754455566,
|
| 753 |
+
"learning_rate": 9.055299539170508e-05,
|
| 754 |
+
"loss": 0.2578,
|
| 755 |
+
"step": 950
|
| 756 |
+
},
|
| 757 |
+
{
|
| 758 |
+
"epoch": 2.2119815668202767,
|
| 759 |
+
"grad_norm": 2.232977867126465,
|
| 760 |
+
"learning_rate": 8.940092165898618e-05,
|
| 761 |
+
"loss": 0.2168,
|
| 762 |
+
"step": 960
|
| 763 |
+
},
|
| 764 |
+
{
|
| 765 |
+
"epoch": 2.2350230414746544,
|
| 766 |
+
"grad_norm": 4.8774847984313965,
|
| 767 |
+
"learning_rate": 8.824884792626729e-05,
|
| 768 |
+
"loss": 0.1978,
|
| 769 |
+
"step": 970
|
| 770 |
+
},
|
| 771 |
+
{
|
| 772 |
+
"epoch": 2.258064516129032,
|
| 773 |
+
"grad_norm": 2.6131808757781982,
|
| 774 |
+
"learning_rate": 8.709677419354839e-05,
|
| 775 |
+
"loss": 0.223,
|
| 776 |
+
"step": 980
|
| 777 |
+
},
|
| 778 |
+
{
|
| 779 |
+
"epoch": 2.28110599078341,
|
| 780 |
+
"grad_norm": 1.6126481294631958,
|
| 781 |
+
"learning_rate": 8.594470046082949e-05,
|
| 782 |
+
"loss": 0.3882,
|
| 783 |
+
"step": 990
|
| 784 |
+
},
|
| 785 |
+
{
|
| 786 |
+
"epoch": 2.3041474654377883,
|
| 787 |
+
"grad_norm": 1.6977124214172363,
|
| 788 |
+
"learning_rate": 8.479262672811061e-05,
|
| 789 |
+
"loss": 0.2767,
|
| 790 |
+
"step": 1000
|
| 791 |
+
},
|
| 792 |
+
{
|
| 793 |
+
"epoch": 2.3041474654377883,
|
| 794 |
+
"eval_accuracy": 0.8090787716955942,
|
| 795 |
+
"eval_loss": 0.5795237421989441,
|
| 796 |
+
"eval_runtime": 11.3869,
|
| 797 |
+
"eval_samples_per_second": 131.555,
|
| 798 |
+
"eval_steps_per_second": 16.51,
|
| 799 |
+
"step": 1000
|
| 800 |
+
},
|
| 801 |
+
{
|
| 802 |
+
"epoch": 2.327188940092166,
|
| 803 |
+
"grad_norm": 5.384529113769531,
|
| 804 |
+
"learning_rate": 8.364055299539171e-05,
|
| 805 |
+
"loss": 0.2478,
|
| 806 |
+
"step": 1010
|
| 807 |
+
},
|
| 808 |
+
{
|
| 809 |
+
"epoch": 2.3502304147465436,
|
| 810 |
+
"grad_norm": 7.527071952819824,
|
| 811 |
+
"learning_rate": 8.248847926267282e-05,
|
| 812 |
+
"loss": 0.1614,
|
| 813 |
+
"step": 1020
|
| 814 |
+
},
|
| 815 |
+
{
|
| 816 |
+
"epoch": 2.3732718894009217,
|
| 817 |
+
"grad_norm": 3.253967523574829,
|
| 818 |
+
"learning_rate": 8.133640552995392e-05,
|
| 819 |
+
"loss": 0.1988,
|
| 820 |
+
"step": 1030
|
| 821 |
+
},
|
| 822 |
+
{
|
| 823 |
+
"epoch": 2.3963133640552994,
|
| 824 |
+
"grad_norm": 2.3061683177948,
|
| 825 |
+
"learning_rate": 8.018433179723502e-05,
|
| 826 |
+
"loss": 0.2267,
|
| 827 |
+
"step": 1040
|
| 828 |
+
},
|
| 829 |
+
{
|
| 830 |
+
"epoch": 2.4193548387096775,
|
| 831 |
+
"grad_norm": 5.240030288696289,
|
| 832 |
+
"learning_rate": 7.903225806451613e-05,
|
| 833 |
+
"loss": 0.3522,
|
| 834 |
+
"step": 1050
|
| 835 |
+
},
|
| 836 |
+
{
|
| 837 |
+
"epoch": 2.442396313364055,
|
| 838 |
+
"grad_norm": 5.367170810699463,
|
| 839 |
+
"learning_rate": 7.788018433179723e-05,
|
| 840 |
+
"loss": 0.21,
|
| 841 |
+
"step": 1060
|
| 842 |
+
},
|
| 843 |
+
{
|
| 844 |
+
"epoch": 2.4654377880184333,
|
| 845 |
+
"grad_norm": 2.52602219581604,
|
| 846 |
+
"learning_rate": 7.672811059907835e-05,
|
| 847 |
+
"loss": 0.208,
|
| 848 |
+
"step": 1070
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"epoch": 2.488479262672811,
|
| 852 |
+
"grad_norm": 3.110276937484741,
|
| 853 |
+
"learning_rate": 7.557603686635945e-05,
|
| 854 |
+
"loss": 0.1624,
|
| 855 |
+
"step": 1080
|
| 856 |
+
},
|
| 857 |
+
{
|
| 858 |
+
"epoch": 2.511520737327189,
|
| 859 |
+
"grad_norm": 3.7577178478240967,
|
| 860 |
+
"learning_rate": 7.442396313364057e-05,
|
| 861 |
+
"loss": 0.2187,
|
| 862 |
+
"step": 1090
|
| 863 |
+
},
|
| 864 |
+
{
|
| 865 |
+
"epoch": 2.5345622119815667,
|
| 866 |
+
"grad_norm": 0.886064887046814,
|
| 867 |
+
"learning_rate": 7.327188940092167e-05,
|
| 868 |
+
"loss": 0.2387,
|
| 869 |
+
"step": 1100
|
| 870 |
+
},
|
| 871 |
+
{
|
| 872 |
+
"epoch": 2.5345622119815667,
|
| 873 |
+
"eval_accuracy": 0.8090787716955942,
|
| 874 |
+
"eval_loss": 0.6099982857704163,
|
| 875 |
+
"eval_runtime": 11.7513,
|
| 876 |
+
"eval_samples_per_second": 127.476,
|
| 877 |
+
"eval_steps_per_second": 15.998,
|
| 878 |
+
"step": 1100
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 2.557603686635945,
|
| 882 |
+
"grad_norm": 0.9772585034370422,
|
| 883 |
+
"learning_rate": 7.211981566820277e-05,
|
| 884 |
+
"loss": 0.2289,
|
| 885 |
+
"step": 1110
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 2.5806451612903225,
|
| 889 |
+
"grad_norm": 5.879600524902344,
|
| 890 |
+
"learning_rate": 7.096774193548388e-05,
|
| 891 |
+
"loss": 0.2592,
|
| 892 |
+
"step": 1120
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 2.6036866359447006,
|
| 896 |
+
"grad_norm": 5.125580310821533,
|
| 897 |
+
"learning_rate": 6.981566820276498e-05,
|
| 898 |
+
"loss": 0.1801,
|
| 899 |
+
"step": 1130
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 2.6267281105990783,
|
| 903 |
+
"grad_norm": 4.4502692222595215,
|
| 904 |
+
"learning_rate": 6.86635944700461e-05,
|
| 905 |
+
"loss": 0.3577,
|
| 906 |
+
"step": 1140
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 2.6497695852534564,
|
| 910 |
+
"grad_norm": 0.543267548084259,
|
| 911 |
+
"learning_rate": 6.75115207373272e-05,
|
| 912 |
+
"loss": 0.1313,
|
| 913 |
+
"step": 1150
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 2.672811059907834,
|
| 917 |
+
"grad_norm": 1.4891630411148071,
|
| 918 |
+
"learning_rate": 6.63594470046083e-05,
|
| 919 |
+
"loss": 0.1858,
|
| 920 |
+
"step": 1160
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 2.6958525345622117,
|
| 924 |
+
"grad_norm": 2.359645366668701,
|
| 925 |
+
"learning_rate": 6.52073732718894e-05,
|
| 926 |
+
"loss": 0.2059,
|
| 927 |
+
"step": 1170
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 2.71889400921659,
|
| 931 |
+
"grad_norm": 2.5760185718536377,
|
| 932 |
+
"learning_rate": 6.405529953917051e-05,
|
| 933 |
+
"loss": 0.2378,
|
| 934 |
+
"step": 1180
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 2.741935483870968,
|
| 938 |
+
"grad_norm": 0.24703356623649597,
|
| 939 |
+
"learning_rate": 6.290322580645161e-05,
|
| 940 |
+
"loss": 0.1487,
|
| 941 |
+
"step": 1190
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 2.7649769585253456,
|
| 945 |
+
"grad_norm": 0.22307877242565155,
|
| 946 |
+
"learning_rate": 6.175115207373272e-05,
|
| 947 |
+
"loss": 0.1691,
|
| 948 |
+
"step": 1200
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 2.7649769585253456,
|
| 952 |
+
"eval_accuracy": 0.8070761014686249,
|
| 953 |
+
"eval_loss": 0.6174820065498352,
|
| 954 |
+
"eval_runtime": 11.265,
|
| 955 |
+
"eval_samples_per_second": 132.978,
|
| 956 |
+
"eval_steps_per_second": 16.689,
|
| 957 |
+
"step": 1200
|
| 958 |
+
},
|
| 959 |
+
{
|
| 960 |
+
"epoch": 2.7880184331797233,
|
| 961 |
+
"grad_norm": 2.50034761428833,
|
| 962 |
+
"learning_rate": 6.0599078341013825e-05,
|
| 963 |
+
"loss": 0.2148,
|
| 964 |
+
"step": 1210
|
| 965 |
+
},
|
| 966 |
+
{
|
| 967 |
+
"epoch": 2.8110599078341014,
|
| 968 |
+
"grad_norm": 0.3251860439777374,
|
| 969 |
+
"learning_rate": 5.944700460829493e-05,
|
| 970 |
+
"loss": 0.1538,
|
| 971 |
+
"step": 1220
|
| 972 |
+
},
|
| 973 |
+
{
|
| 974 |
+
"epoch": 2.8341013824884795,
|
| 975 |
+
"grad_norm": 3.687969446182251,
|
| 976 |
+
"learning_rate": 5.829493087557604e-05,
|
| 977 |
+
"loss": 0.2445,
|
| 978 |
+
"step": 1230
|
| 979 |
+
},
|
| 980 |
+
{
|
| 981 |
+
"epoch": 2.857142857142857,
|
| 982 |
+
"grad_norm": 7.214417457580566,
|
| 983 |
+
"learning_rate": 5.714285714285714e-05,
|
| 984 |
+
"loss": 0.229,
|
| 985 |
+
"step": 1240
|
| 986 |
+
},
|
| 987 |
+
{
|
| 988 |
+
"epoch": 2.880184331797235,
|
| 989 |
+
"grad_norm": 2.587062120437622,
|
| 990 |
+
"learning_rate": 5.5990783410138245e-05,
|
| 991 |
+
"loss": 0.1999,
|
| 992 |
+
"step": 1250
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 2.903225806451613,
|
| 996 |
+
"grad_norm": 4.365920066833496,
|
| 997 |
+
"learning_rate": 5.4838709677419355e-05,
|
| 998 |
+
"loss": 0.1061,
|
| 999 |
+
"step": 1260
|
| 1000 |
+
},
|
| 1001 |
+
{
|
| 1002 |
+
"epoch": 2.9262672811059907,
|
| 1003 |
+
"grad_norm": 3.7295572757720947,
|
| 1004 |
+
"learning_rate": 5.368663594470046e-05,
|
| 1005 |
+
"loss": 0.3093,
|
| 1006 |
+
"step": 1270
|
| 1007 |
+
},
|
| 1008 |
+
{
|
| 1009 |
+
"epoch": 2.9493087557603688,
|
| 1010 |
+
"grad_norm": 2.4992685317993164,
|
| 1011 |
+
"learning_rate": 5.253456221198156e-05,
|
| 1012 |
+
"loss": 0.1644,
|
| 1013 |
+
"step": 1280
|
| 1014 |
+
},
|
| 1015 |
+
{
|
| 1016 |
+
"epoch": 2.9723502304147464,
|
| 1017 |
+
"grad_norm": 5.495995998382568,
|
| 1018 |
+
"learning_rate": 5.138248847926268e-05,
|
| 1019 |
+
"loss": 0.2393,
|
| 1020 |
+
"step": 1290
|
| 1021 |
+
},
|
| 1022 |
+
{
|
| 1023 |
+
"epoch": 2.9953917050691246,
|
| 1024 |
+
"grad_norm": 2.1380579471588135,
|
| 1025 |
+
"learning_rate": 5.023041474654379e-05,
|
| 1026 |
+
"loss": 0.1738,
|
| 1027 |
+
"step": 1300
|
| 1028 |
+
},
|
| 1029 |
+
{
|
| 1030 |
+
"epoch": 2.9953917050691246,
|
| 1031 |
+
"eval_accuracy": 0.8197596795727636,
|
| 1032 |
+
"eval_loss": 0.5877332091331482,
|
| 1033 |
+
"eval_runtime": 11.4089,
|
| 1034 |
+
"eval_samples_per_second": 131.301,
|
| 1035 |
+
"eval_steps_per_second": 16.478,
|
| 1036 |
+
"step": 1300
|
| 1037 |
+
},
|
| 1038 |
+
{
|
| 1039 |
+
"epoch": 3.0184331797235022,
|
| 1040 |
+
"grad_norm": 6.119831085205078,
|
| 1041 |
+
"learning_rate": 4.9078341013824885e-05,
|
| 1042 |
+
"loss": 0.075,
|
| 1043 |
+
"step": 1310
|
| 1044 |
+
},
|
| 1045 |
+
{
|
| 1046 |
+
"epoch": 3.0414746543778803,
|
| 1047 |
+
"grad_norm": 0.25446683168411255,
|
| 1048 |
+
"learning_rate": 4.792626728110599e-05,
|
| 1049 |
+
"loss": 0.0528,
|
| 1050 |
+
"step": 1320
|
| 1051 |
+
},
|
| 1052 |
+
{
|
| 1053 |
+
"epoch": 3.064516129032258,
|
| 1054 |
+
"grad_norm": 0.32773900032043457,
|
| 1055 |
+
"learning_rate": 4.67741935483871e-05,
|
| 1056 |
+
"loss": 0.0551,
|
| 1057 |
+
"step": 1330
|
| 1058 |
+
},
|
| 1059 |
+
{
|
| 1060 |
+
"epoch": 3.087557603686636,
|
| 1061 |
+
"grad_norm": 0.8912816643714905,
|
| 1062 |
+
"learning_rate": 4.562211981566821e-05,
|
| 1063 |
+
"loss": 0.0799,
|
| 1064 |
+
"step": 1340
|
| 1065 |
+
},
|
| 1066 |
+
{
|
| 1067 |
+
"epoch": 3.110599078341014,
|
| 1068 |
+
"grad_norm": 0.6732431054115295,
|
| 1069 |
+
"learning_rate": 4.447004608294931e-05,
|
| 1070 |
+
"loss": 0.0327,
|
| 1071 |
+
"step": 1350
|
| 1072 |
+
},
|
| 1073 |
+
{
|
| 1074 |
+
"epoch": 3.133640552995392,
|
| 1075 |
+
"grad_norm": 5.909882545471191,
|
| 1076 |
+
"learning_rate": 4.3317972350230415e-05,
|
| 1077 |
+
"loss": 0.108,
|
| 1078 |
+
"step": 1360
|
| 1079 |
+
},
|
| 1080 |
+
{
|
| 1081 |
+
"epoch": 3.1566820276497696,
|
| 1082 |
+
"grad_norm": 1.3546661138534546,
|
| 1083 |
+
"learning_rate": 4.2165898617511525e-05,
|
| 1084 |
+
"loss": 0.1057,
|
| 1085 |
+
"step": 1370
|
| 1086 |
+
},
|
| 1087 |
+
{
|
| 1088 |
+
"epoch": 3.1797235023041477,
|
| 1089 |
+
"grad_norm": 0.09205944836139679,
|
| 1090 |
+
"learning_rate": 4.101382488479263e-05,
|
| 1091 |
+
"loss": 0.045,
|
| 1092 |
+
"step": 1380
|
| 1093 |
+
},
|
| 1094 |
+
{
|
| 1095 |
+
"epoch": 3.2027649769585254,
|
| 1096 |
+
"grad_norm": 0.12445586174726486,
|
| 1097 |
+
"learning_rate": 3.986175115207373e-05,
|
| 1098 |
+
"loss": 0.0391,
|
| 1099 |
+
"step": 1390
|
| 1100 |
+
},
|
| 1101 |
+
{
|
| 1102 |
+
"epoch": 3.225806451612903,
|
| 1103 |
+
"grad_norm": 0.49267128109931946,
|
| 1104 |
+
"learning_rate": 3.870967741935484e-05,
|
| 1105 |
+
"loss": 0.0397,
|
| 1106 |
+
"step": 1400
|
| 1107 |
+
},
|
| 1108 |
+
{
|
| 1109 |
+
"epoch": 3.225806451612903,
|
| 1110 |
+
"eval_accuracy": 0.835781041388518,
|
| 1111 |
+
"eval_loss": 0.576629102230072,
|
| 1112 |
+
"eval_runtime": 11.5658,
|
| 1113 |
+
"eval_samples_per_second": 129.52,
|
| 1114 |
+
"eval_steps_per_second": 16.255,
|
| 1115 |
+
"step": 1400
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 3.248847926267281,
|
| 1119 |
+
"grad_norm": 0.24710910022258759,
|
| 1120 |
+
"learning_rate": 3.7557603686635945e-05,
|
| 1121 |
+
"loss": 0.0982,
|
| 1122 |
+
"step": 1410
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 3.271889400921659,
|
| 1126 |
+
"grad_norm": 1.3541345596313477,
|
| 1127 |
+
"learning_rate": 3.640552995391705e-05,
|
| 1128 |
+
"loss": 0.1062,
|
| 1129 |
+
"step": 1420
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 3.294930875576037,
|
| 1133 |
+
"grad_norm": 0.07805185765028,
|
| 1134 |
+
"learning_rate": 3.525345622119816e-05,
|
| 1135 |
+
"loss": 0.0367,
|
| 1136 |
+
"step": 1430
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 3.3179723502304146,
|
| 1140 |
+
"grad_norm": 0.704824686050415,
|
| 1141 |
+
"learning_rate": 3.410138248847927e-05,
|
| 1142 |
+
"loss": 0.0576,
|
| 1143 |
+
"step": 1440
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 3.3410138248847927,
|
| 1147 |
+
"grad_norm": 3.216744899749756,
|
| 1148 |
+
"learning_rate": 3.294930875576037e-05,
|
| 1149 |
+
"loss": 0.123,
|
| 1150 |
+
"step": 1450
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 3.3640552995391704,
|
| 1154 |
+
"grad_norm": 3.2812583446502686,
|
| 1155 |
+
"learning_rate": 3.1797235023041475e-05,
|
| 1156 |
+
"loss": 0.0535,
|
| 1157 |
+
"step": 1460
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 3.3870967741935485,
|
| 1161 |
+
"grad_norm": 0.09345371276140213,
|
| 1162 |
+
"learning_rate": 3.0645161290322585e-05,
|
| 1163 |
+
"loss": 0.0363,
|
| 1164 |
+
"step": 1470
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 3.410138248847926,
|
| 1168 |
+
"grad_norm": 0.5610162019729614,
|
| 1169 |
+
"learning_rate": 2.9493087557603688e-05,
|
| 1170 |
+
"loss": 0.0903,
|
| 1171 |
+
"step": 1480
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 3.4331797235023043,
|
| 1175 |
+
"grad_norm": 1.413180947303772,
|
| 1176 |
+
"learning_rate": 2.8341013824884795e-05,
|
| 1177 |
+
"loss": 0.0792,
|
| 1178 |
+
"step": 1490
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 3.456221198156682,
|
| 1182 |
+
"grad_norm": 6.735473155975342,
|
| 1183 |
+
"learning_rate": 2.7188940092165898e-05,
|
| 1184 |
+
"loss": 0.03,
|
| 1185 |
+
"step": 1500
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 3.456221198156682,
|
| 1189 |
+
"eval_accuracy": 0.8371161548731643,
|
| 1190 |
+
"eval_loss": 0.5680701732635498,
|
| 1191 |
+
"eval_runtime": 11.6369,
|
| 1192 |
+
"eval_samples_per_second": 128.728,
|
| 1193 |
+
"eval_steps_per_second": 16.155,
|
| 1194 |
+
"step": 1500
|
| 1195 |
+
},
|
| 1196 |
+
{
|
| 1197 |
+
"epoch": 3.47926267281106,
|
| 1198 |
+
"grad_norm": 1.4329415559768677,
|
| 1199 |
+
"learning_rate": 2.6036866359447005e-05,
|
| 1200 |
+
"loss": 0.0206,
|
| 1201 |
+
"step": 1510
|
| 1202 |
+
},
|
| 1203 |
+
{
|
| 1204 |
+
"epoch": 3.5023041474654377,
|
| 1205 |
+
"grad_norm": 0.0513407364487648,
|
| 1206 |
+
"learning_rate": 2.488479262672811e-05,
|
| 1207 |
+
"loss": 0.0637,
|
| 1208 |
+
"step": 1520
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"epoch": 3.525345622119816,
|
| 1212 |
+
"grad_norm": 0.09985367208719254,
|
| 1213 |
+
"learning_rate": 2.3732718894009218e-05,
|
| 1214 |
+
"loss": 0.0829,
|
| 1215 |
+
"step": 1530
|
| 1216 |
+
},
|
| 1217 |
+
{
|
| 1218 |
+
"epoch": 3.5483870967741935,
|
| 1219 |
+
"grad_norm": 0.0632900595664978,
|
| 1220 |
+
"learning_rate": 2.258064516129032e-05,
|
| 1221 |
+
"loss": 0.0329,
|
| 1222 |
+
"step": 1540
|
| 1223 |
+
},
|
| 1224 |
+
{
|
| 1225 |
+
"epoch": 3.571428571428571,
|
| 1226 |
+
"grad_norm": 0.23229588568210602,
|
| 1227 |
+
"learning_rate": 2.1428571428571428e-05,
|
| 1228 |
+
"loss": 0.0709,
|
| 1229 |
+
"step": 1550
|
| 1230 |
+
},
|
| 1231 |
+
{
|
| 1232 |
+
"epoch": 3.5944700460829493,
|
| 1233 |
+
"grad_norm": 0.15025608241558075,
|
| 1234 |
+
"learning_rate": 2.0276497695852538e-05,
|
| 1235 |
+
"loss": 0.1135,
|
| 1236 |
+
"step": 1560
|
| 1237 |
+
},
|
| 1238 |
+
{
|
| 1239 |
+
"epoch": 3.6175115207373274,
|
| 1240 |
+
"grad_norm": 5.933778285980225,
|
| 1241 |
+
"learning_rate": 1.912442396313364e-05,
|
| 1242 |
+
"loss": 0.1093,
|
| 1243 |
+
"step": 1570
|
| 1244 |
+
},
|
| 1245 |
+
{
|
| 1246 |
+
"epoch": 3.640552995391705,
|
| 1247 |
+
"grad_norm": 0.06949874013662338,
|
| 1248 |
+
"learning_rate": 1.7972350230414748e-05,
|
| 1249 |
+
"loss": 0.0498,
|
| 1250 |
+
"step": 1580
|
| 1251 |
+
},
|
| 1252 |
+
{
|
| 1253 |
+
"epoch": 3.6635944700460827,
|
| 1254 |
+
"grad_norm": 0.09838402271270752,
|
| 1255 |
+
"learning_rate": 1.682027649769585e-05,
|
| 1256 |
+
"loss": 0.0598,
|
| 1257 |
+
"step": 1590
|
| 1258 |
+
},
|
| 1259 |
+
{
|
| 1260 |
+
"epoch": 3.686635944700461,
|
| 1261 |
+
"grad_norm": 0.9366612434387207,
|
| 1262 |
+
"learning_rate": 1.5668202764976958e-05,
|
| 1263 |
+
"loss": 0.092,
|
| 1264 |
+
"step": 1600
|
| 1265 |
+
},
|
| 1266 |
+
{
|
| 1267 |
+
"epoch": 3.686635944700461,
|
| 1268 |
+
"eval_accuracy": 0.8451268357810414,
|
| 1269 |
+
"eval_loss": 0.5304816365242004,
|
| 1270 |
+
"eval_runtime": 11.6024,
|
| 1271 |
+
"eval_samples_per_second": 129.111,
|
| 1272 |
+
"eval_steps_per_second": 16.203,
|
| 1273 |
+
"step": 1600
|
| 1274 |
+
},
|
| 1275 |
+
{
|
| 1276 |
+
"epoch": 3.709677419354839,
|
| 1277 |
+
"grad_norm": 0.04733530059456825,
|
| 1278 |
+
"learning_rate": 1.4516129032258066e-05,
|
| 1279 |
+
"loss": 0.0276,
|
| 1280 |
+
"step": 1610
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 3.7327188940092166,
|
| 1284 |
+
"grad_norm": 0.08603022992610931,
|
| 1285 |
+
"learning_rate": 1.3364055299539171e-05,
|
| 1286 |
+
"loss": 0.0347,
|
| 1287 |
+
"step": 1620
|
| 1288 |
+
},
|
| 1289 |
+
{
|
| 1290 |
+
"epoch": 3.7557603686635943,
|
| 1291 |
+
"grad_norm": 0.041543856263160706,
|
| 1292 |
+
"learning_rate": 1.2211981566820276e-05,
|
| 1293 |
+
"loss": 0.026,
|
| 1294 |
+
"step": 1630
|
| 1295 |
+
},
|
| 1296 |
+
{
|
| 1297 |
+
"epoch": 3.7788018433179724,
|
| 1298 |
+
"grad_norm": 0.24026305973529816,
|
| 1299 |
+
"learning_rate": 1.1059907834101383e-05,
|
| 1300 |
+
"loss": 0.0496,
|
| 1301 |
+
"step": 1640
|
| 1302 |
+
},
|
| 1303 |
+
{
|
| 1304 |
+
"epoch": 3.80184331797235,
|
| 1305 |
+
"grad_norm": 0.03894612938165665,
|
| 1306 |
+
"learning_rate": 9.90783410138249e-06,
|
| 1307 |
+
"loss": 0.0365,
|
| 1308 |
+
"step": 1650
|
| 1309 |
+
},
|
| 1310 |
+
{
|
| 1311 |
+
"epoch": 3.824884792626728,
|
| 1312 |
+
"grad_norm": 4.442405700683594,
|
| 1313 |
+
"learning_rate": 8.755760368663595e-06,
|
| 1314 |
+
"loss": 0.0402,
|
| 1315 |
+
"step": 1660
|
| 1316 |
+
},
|
| 1317 |
+
{
|
| 1318 |
+
"epoch": 3.847926267281106,
|
| 1319 |
+
"grad_norm": 0.032657474279403687,
|
| 1320 |
+
"learning_rate": 7.603686635944701e-06,
|
| 1321 |
+
"loss": 0.0596,
|
| 1322 |
+
"step": 1670
|
| 1323 |
+
},
|
| 1324 |
+
{
|
| 1325 |
+
"epoch": 3.870967741935484,
|
| 1326 |
+
"grad_norm": 2.9635491371154785,
|
| 1327 |
+
"learning_rate": 6.451612903225806e-06,
|
| 1328 |
+
"loss": 0.0835,
|
| 1329 |
+
"step": 1680
|
| 1330 |
+
},
|
| 1331 |
+
{
|
| 1332 |
+
"epoch": 3.8940092165898617,
|
| 1333 |
+
"grad_norm": 0.06601913273334503,
|
| 1334 |
+
"learning_rate": 5.299539170506913e-06,
|
| 1335 |
+
"loss": 0.0277,
|
| 1336 |
+
"step": 1690
|
| 1337 |
+
},
|
| 1338 |
+
{
|
| 1339 |
+
"epoch": 3.9170506912442398,
|
| 1340 |
+
"grad_norm": 0.22990980744361877,
|
| 1341 |
+
"learning_rate": 4.147465437788019e-06,
|
| 1342 |
+
"loss": 0.0416,
|
| 1343 |
+
"step": 1700
|
| 1344 |
+
},
|
| 1345 |
+
{
|
| 1346 |
+
"epoch": 3.9170506912442398,
|
| 1347 |
+
"eval_accuracy": 0.8471295060080107,
|
| 1348 |
+
"eval_loss": 0.5442608594894409,
|
| 1349 |
+
"eval_runtime": 11.486,
|
| 1350 |
+
"eval_samples_per_second": 130.42,
|
| 1351 |
+
"eval_steps_per_second": 16.368,
|
| 1352 |
+
"step": 1700
|
| 1353 |
+
},
|
| 1354 |
+
{
|
| 1355 |
+
"epoch": 3.9400921658986174,
|
| 1356 |
+
"grad_norm": 0.06300857663154602,
|
| 1357 |
+
"learning_rate": 2.9953917050691243e-06,
|
| 1358 |
+
"loss": 0.0331,
|
| 1359 |
+
"step": 1710
|
| 1360 |
+
},
|
| 1361 |
+
{
|
| 1362 |
+
"epoch": 3.9631336405529956,
|
| 1363 |
+
"grad_norm": 1.9846687316894531,
|
| 1364 |
+
"learning_rate": 1.8433179723502305e-06,
|
| 1365 |
+
"loss": 0.04,
|
| 1366 |
+
"step": 1720
|
| 1367 |
+
},
|
| 1368 |
+
{
|
| 1369 |
+
"epoch": 3.986175115207373,
|
| 1370 |
+
"grad_norm": 0.4808693826198578,
|
| 1371 |
+
"learning_rate": 6.912442396313364e-07,
|
| 1372 |
+
"loss": 0.0494,
|
| 1373 |
+
"step": 1730
|
| 1374 |
+
},
|
| 1375 |
+
{
|
| 1376 |
+
"epoch": 4.0,
|
| 1377 |
+
"step": 1736,
|
| 1378 |
+
"total_flos": 2.1525139607212524e+18,
|
| 1379 |
+
"train_loss": 0.4232822818690181,
|
| 1380 |
+
"train_runtime": 559.5799,
|
| 1381 |
+
"train_samples_per_second": 49.637,
|
| 1382 |
+
"train_steps_per_second": 3.102
|
| 1383 |
+
}
|
| 1384 |
+
],
|
| 1385 |
+
"logging_steps": 10,
|
| 1386 |
+
"max_steps": 1736,
|
| 1387 |
+
"num_input_tokens_seen": 0,
|
| 1388 |
+
"num_train_epochs": 4,
|
| 1389 |
+
"save_steps": 100,
|
| 1390 |
+
"stateful_callbacks": {
|
| 1391 |
+
"TrainerControl": {
|
| 1392 |
+
"args": {
|
| 1393 |
+
"should_epoch_stop": false,
|
| 1394 |
+
"should_evaluate": false,
|
| 1395 |
+
"should_log": false,
|
| 1396 |
+
"should_save": true,
|
| 1397 |
+
"should_training_stop": false
|
| 1398 |
+
},
|
| 1399 |
+
"attributes": {}
|
| 1400 |
+
}
|
| 1401 |
+
},
|
| 1402 |
+
"total_flos": 2.1525139607212524e+18,
|
| 1403 |
+
"train_batch_size": 16,
|
| 1404 |
+
"trial_name": null,
|
| 1405 |
+
"trial_params": null
|
| 1406 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d66167632c09a446e5d3275f18d6a203e0198247882b9b893a75ae4a978e75ca
|
| 3 |
+
size 5112
|