Upload 8 files
Browse files- config.json +96 -0
- optimizer.pt +3 -0
- preprocessor_config.json +9 -0
- pytorch_model.bin +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +1750 -0
- training_args.bin +3 -0
config.json
ADDED
|
@@ -0,0 +1,96 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "ntu-spml/distilhubert",
|
| 3 |
+
"activation_dropout": 0.1,
|
| 4 |
+
"apply_spec_augment": false,
|
| 5 |
+
"architectures": [
|
| 6 |
+
"HubertForSequenceClassification"
|
| 7 |
+
],
|
| 8 |
+
"attention_dropout": 0.1,
|
| 9 |
+
"bos_token_id": 1,
|
| 10 |
+
"classifier_proj_size": 256,
|
| 11 |
+
"conv_bias": false,
|
| 12 |
+
"conv_dim": [
|
| 13 |
+
512,
|
| 14 |
+
512,
|
| 15 |
+
512,
|
| 16 |
+
512,
|
| 17 |
+
512,
|
| 18 |
+
512,
|
| 19 |
+
512
|
| 20 |
+
],
|
| 21 |
+
"conv_kernel": [
|
| 22 |
+
10,
|
| 23 |
+
3,
|
| 24 |
+
3,
|
| 25 |
+
3,
|
| 26 |
+
3,
|
| 27 |
+
2,
|
| 28 |
+
2
|
| 29 |
+
],
|
| 30 |
+
"conv_stride": [
|
| 31 |
+
5,
|
| 32 |
+
2,
|
| 33 |
+
2,
|
| 34 |
+
2,
|
| 35 |
+
2,
|
| 36 |
+
2,
|
| 37 |
+
2
|
| 38 |
+
],
|
| 39 |
+
"ctc_loss_reduction": "sum",
|
| 40 |
+
"ctc_zero_infinity": false,
|
| 41 |
+
"do_stable_layer_norm": false,
|
| 42 |
+
"eos_token_id": 2,
|
| 43 |
+
"feat_extract_activation": "gelu",
|
| 44 |
+
"feat_extract_norm": "group",
|
| 45 |
+
"feat_proj_dropout": 0.0,
|
| 46 |
+
"feat_proj_layer_norm": false,
|
| 47 |
+
"final_dropout": 0.0,
|
| 48 |
+
"hidden_act": "gelu",
|
| 49 |
+
"hidden_dropout": 0.1,
|
| 50 |
+
"hidden_size": 768,
|
| 51 |
+
"id2label": {
|
| 52 |
+
"0": "blues",
|
| 53 |
+
"1": "classical",
|
| 54 |
+
"2": "country",
|
| 55 |
+
"3": "disco",
|
| 56 |
+
"4": "hiphop",
|
| 57 |
+
"5": "jazz",
|
| 58 |
+
"6": "metal",
|
| 59 |
+
"7": "pop",
|
| 60 |
+
"8": "reggae",
|
| 61 |
+
"9": "rock"
|
| 62 |
+
},
|
| 63 |
+
"initializer_range": 0.02,
|
| 64 |
+
"intermediate_size": 3072,
|
| 65 |
+
"label2id": {
|
| 66 |
+
"blues": "0",
|
| 67 |
+
"classical": "1",
|
| 68 |
+
"country": "2",
|
| 69 |
+
"disco": "3",
|
| 70 |
+
"hiphop": "4",
|
| 71 |
+
"jazz": "5",
|
| 72 |
+
"metal": "6",
|
| 73 |
+
"pop": "7",
|
| 74 |
+
"reggae": "8",
|
| 75 |
+
"rock": "9"
|
| 76 |
+
},
|
| 77 |
+
"layer_norm_eps": 1e-05,
|
| 78 |
+
"layerdrop": 0.0,
|
| 79 |
+
"mask_feature_length": 10,
|
| 80 |
+
"mask_feature_min_masks": 0,
|
| 81 |
+
"mask_feature_prob": 0.0,
|
| 82 |
+
"mask_time_length": 10,
|
| 83 |
+
"mask_time_min_masks": 2,
|
| 84 |
+
"mask_time_prob": 0.05,
|
| 85 |
+
"model_type": "hubert",
|
| 86 |
+
"num_attention_heads": 12,
|
| 87 |
+
"num_conv_pos_embedding_groups": 16,
|
| 88 |
+
"num_conv_pos_embeddings": 128,
|
| 89 |
+
"num_feat_extract_layers": 7,
|
| 90 |
+
"num_hidden_layers": 2,
|
| 91 |
+
"pad_token_id": 0,
|
| 92 |
+
"torch_dtype": "float32",
|
| 93 |
+
"transformers_version": "4.31.0.dev0",
|
| 94 |
+
"use_weighted_layer_sum": false,
|
| 95 |
+
"vocab_size": 32
|
| 96 |
+
}
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fd5def78fcf35ce8197a0a89b2cddd0d0ab2a7e652f880a0f267e8082c15dcc1
|
| 3 |
+
size 189555589
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"do_normalize": true,
|
| 3 |
+
"feature_extractor_type": "Wav2Vec2FeatureExtractor",
|
| 4 |
+
"feature_size": 1,
|
| 5 |
+
"padding_side": "right",
|
| 6 |
+
"padding_value": 0,
|
| 7 |
+
"return_attention_mask": true,
|
| 8 |
+
"sampling_rate": 16000
|
| 9 |
+
}
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:213bef9ea1cb8c00dc924977331618ea4ae9823f2d2b164e92ee138a1a71b505
|
| 3 |
+
size 94783376
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:98fe4e41e502c92480c84ccee907b3ce52b631e614a8ed347276406cc29ef887
|
| 3 |
+
size 14575
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:27fb51ce21283dcc0c99fed0d74cb955b323f5a3c1836121af7be1af641d3763
|
| 3 |
+
size 627
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1750 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.87,
|
| 3 |
+
"best_model_checkpoint": "distilhubert-finetuned-gtzan/checkpoint-1356",
|
| 4 |
+
"epoch": 12.0,
|
| 5 |
+
"global_step": 1356,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.04,
|
| 12 |
+
"learning_rate": 1.1061946902654867e-06,
|
| 13 |
+
"loss": 2.3091,
|
| 14 |
+
"step": 5
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.09,
|
| 18 |
+
"learning_rate": 2.2123893805309734e-06,
|
| 19 |
+
"loss": 2.3013,
|
| 20 |
+
"step": 10
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.13,
|
| 24 |
+
"learning_rate": 3.3185840707964607e-06,
|
| 25 |
+
"loss": 2.304,
|
| 26 |
+
"step": 15
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.18,
|
| 30 |
+
"learning_rate": 4.424778761061947e-06,
|
| 31 |
+
"loss": 2.307,
|
| 32 |
+
"step": 20
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 0.22,
|
| 36 |
+
"learning_rate": 5.5309734513274346e-06,
|
| 37 |
+
"loss": 2.3035,
|
| 38 |
+
"step": 25
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.27,
|
| 42 |
+
"learning_rate": 6.6371681415929215e-06,
|
| 43 |
+
"loss": 2.2975,
|
| 44 |
+
"step": 30
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.31,
|
| 48 |
+
"learning_rate": 7.743362831858407e-06,
|
| 49 |
+
"loss": 2.2995,
|
| 50 |
+
"step": 35
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 0.35,
|
| 54 |
+
"learning_rate": 8.849557522123894e-06,
|
| 55 |
+
"loss": 2.2945,
|
| 56 |
+
"step": 40
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 0.4,
|
| 60 |
+
"learning_rate": 9.95575221238938e-06,
|
| 61 |
+
"loss": 2.2868,
|
| 62 |
+
"step": 45
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 0.44,
|
| 66 |
+
"learning_rate": 1.1061946902654869e-05,
|
| 67 |
+
"loss": 2.2764,
|
| 68 |
+
"step": 50
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 0.49,
|
| 72 |
+
"learning_rate": 1.2168141592920354e-05,
|
| 73 |
+
"loss": 2.2802,
|
| 74 |
+
"step": 55
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 0.53,
|
| 78 |
+
"learning_rate": 1.3274336283185843e-05,
|
| 79 |
+
"loss": 2.2647,
|
| 80 |
+
"step": 60
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.58,
|
| 84 |
+
"learning_rate": 1.4380530973451328e-05,
|
| 85 |
+
"loss": 2.2792,
|
| 86 |
+
"step": 65
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.62,
|
| 90 |
+
"learning_rate": 1.5486725663716813e-05,
|
| 91 |
+
"loss": 2.2499,
|
| 92 |
+
"step": 70
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 0.66,
|
| 96 |
+
"learning_rate": 1.6592920353982302e-05,
|
| 97 |
+
"loss": 2.2809,
|
| 98 |
+
"step": 75
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 0.71,
|
| 102 |
+
"learning_rate": 1.7699115044247787e-05,
|
| 103 |
+
"loss": 2.2683,
|
| 104 |
+
"step": 80
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 0.75,
|
| 108 |
+
"learning_rate": 1.8805309734513272e-05,
|
| 109 |
+
"loss": 2.2492,
|
| 110 |
+
"step": 85
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 0.8,
|
| 114 |
+
"learning_rate": 1.991150442477876e-05,
|
| 115 |
+
"loss": 2.239,
|
| 116 |
+
"step": 90
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 0.84,
|
| 120 |
+
"learning_rate": 2.101769911504425e-05,
|
| 121 |
+
"loss": 2.2239,
|
| 122 |
+
"step": 95
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.88,
|
| 126 |
+
"learning_rate": 2.2123893805309738e-05,
|
| 127 |
+
"loss": 2.1822,
|
| 128 |
+
"step": 100
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.93,
|
| 132 |
+
"learning_rate": 2.3230088495575223e-05,
|
| 133 |
+
"loss": 2.1901,
|
| 134 |
+
"step": 105
|
| 135 |
+
},
|
| 136 |
+
{
|
| 137 |
+
"epoch": 0.97,
|
| 138 |
+
"learning_rate": 2.433628318584071e-05,
|
| 139 |
+
"loss": 2.2018,
|
| 140 |
+
"step": 110
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"epoch": 1.0,
|
| 144 |
+
"eval_accuracy": 0.37,
|
| 145 |
+
"eval_loss": 2.124462842941284,
|
| 146 |
+
"eval_runtime": 37.2852,
|
| 147 |
+
"eval_samples_per_second": 2.682,
|
| 148 |
+
"eval_steps_per_second": 0.349,
|
| 149 |
+
"step": 113
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 1.02,
|
| 153 |
+
"learning_rate": 2.5442477876106197e-05,
|
| 154 |
+
"loss": 2.1462,
|
| 155 |
+
"step": 115
|
| 156 |
+
},
|
| 157 |
+
{
|
| 158 |
+
"epoch": 1.06,
|
| 159 |
+
"learning_rate": 2.6548672566371686e-05,
|
| 160 |
+
"loss": 2.1083,
|
| 161 |
+
"step": 120
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"epoch": 1.11,
|
| 165 |
+
"learning_rate": 2.7654867256637168e-05,
|
| 166 |
+
"loss": 2.0828,
|
| 167 |
+
"step": 125
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"epoch": 1.15,
|
| 171 |
+
"learning_rate": 2.8761061946902656e-05,
|
| 172 |
+
"loss": 2.0594,
|
| 173 |
+
"step": 130
|
| 174 |
+
},
|
| 175 |
+
{
|
| 176 |
+
"epoch": 1.19,
|
| 177 |
+
"learning_rate": 2.9867256637168145e-05,
|
| 178 |
+
"loss": 2.0813,
|
| 179 |
+
"step": 135
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 1.24,
|
| 183 |
+
"learning_rate": 3.097345132743363e-05,
|
| 184 |
+
"loss": 2.0167,
|
| 185 |
+
"step": 140
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 1.28,
|
| 189 |
+
"learning_rate": 3.185840707964602e-05,
|
| 190 |
+
"loss": 1.9729,
|
| 191 |
+
"step": 145
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 1.33,
|
| 195 |
+
"learning_rate": 3.296460176991151e-05,
|
| 196 |
+
"loss": 1.9886,
|
| 197 |
+
"step": 150
|
| 198 |
+
},
|
| 199 |
+
{
|
| 200 |
+
"epoch": 1.37,
|
| 201 |
+
"learning_rate": 3.407079646017699e-05,
|
| 202 |
+
"loss": 1.9951,
|
| 203 |
+
"step": 155
|
| 204 |
+
},
|
| 205 |
+
{
|
| 206 |
+
"epoch": 1.42,
|
| 207 |
+
"learning_rate": 3.517699115044248e-05,
|
| 208 |
+
"loss": 1.9228,
|
| 209 |
+
"step": 160
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 1.46,
|
| 213 |
+
"learning_rate": 3.628318584070797e-05,
|
| 214 |
+
"loss": 1.9038,
|
| 215 |
+
"step": 165
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"epoch": 1.5,
|
| 219 |
+
"learning_rate": 3.7389380530973455e-05,
|
| 220 |
+
"loss": 1.857,
|
| 221 |
+
"step": 170
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 1.55,
|
| 225 |
+
"learning_rate": 3.849557522123894e-05,
|
| 226 |
+
"loss": 1.922,
|
| 227 |
+
"step": 175
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 1.59,
|
| 231 |
+
"learning_rate": 3.9601769911504426e-05,
|
| 232 |
+
"loss": 1.8138,
|
| 233 |
+
"step": 180
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 1.64,
|
| 237 |
+
"learning_rate": 4.0707964601769914e-05,
|
| 238 |
+
"loss": 1.7358,
|
| 239 |
+
"step": 185
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 1.68,
|
| 243 |
+
"learning_rate": 4.1814159292035396e-05,
|
| 244 |
+
"loss": 1.6802,
|
| 245 |
+
"step": 190
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"epoch": 1.73,
|
| 249 |
+
"learning_rate": 4.2920353982300885e-05,
|
| 250 |
+
"loss": 1.6438,
|
| 251 |
+
"step": 195
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 1.77,
|
| 255 |
+
"learning_rate": 4.4026548672566373e-05,
|
| 256 |
+
"loss": 1.67,
|
| 257 |
+
"step": 200
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"epoch": 1.81,
|
| 261 |
+
"learning_rate": 4.491150442477876e-05,
|
| 262 |
+
"loss": 1.8038,
|
| 263 |
+
"step": 205
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 1.86,
|
| 267 |
+
"learning_rate": 4.579646017699115e-05,
|
| 268 |
+
"loss": 1.7205,
|
| 269 |
+
"step": 210
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 1.9,
|
| 273 |
+
"learning_rate": 4.690265486725664e-05,
|
| 274 |
+
"loss": 1.7188,
|
| 275 |
+
"step": 215
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 1.95,
|
| 279 |
+
"learning_rate": 4.800884955752213e-05,
|
| 280 |
+
"loss": 1.5285,
|
| 281 |
+
"step": 220
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 1.99,
|
| 285 |
+
"learning_rate": 4.911504424778761e-05,
|
| 286 |
+
"loss": 1.5528,
|
| 287 |
+
"step": 225
|
| 288 |
+
},
|
| 289 |
+
{
|
| 290 |
+
"epoch": 2.0,
|
| 291 |
+
"eval_accuracy": 0.56,
|
| 292 |
+
"eval_loss": 1.5200048685073853,
|
| 293 |
+
"eval_runtime": 36.9619,
|
| 294 |
+
"eval_samples_per_second": 2.705,
|
| 295 |
+
"eval_steps_per_second": 0.352,
|
| 296 |
+
"step": 226
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 2.04,
|
| 300 |
+
"learning_rate": 4.997541789577188e-05,
|
| 301 |
+
"loss": 1.5776,
|
| 302 |
+
"step": 230
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"epoch": 2.08,
|
| 306 |
+
"learning_rate": 4.985250737463127e-05,
|
| 307 |
+
"loss": 1.5497,
|
| 308 |
+
"step": 235
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 2.12,
|
| 312 |
+
"learning_rate": 4.972959685349066e-05,
|
| 313 |
+
"loss": 1.4853,
|
| 314 |
+
"step": 240
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 2.17,
|
| 318 |
+
"learning_rate": 4.960668633235005e-05,
|
| 319 |
+
"loss": 1.5263,
|
| 320 |
+
"step": 245
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 2.21,
|
| 324 |
+
"learning_rate": 4.9483775811209444e-05,
|
| 325 |
+
"loss": 1.4766,
|
| 326 |
+
"step": 250
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 2.26,
|
| 330 |
+
"learning_rate": 4.936086529006883e-05,
|
| 331 |
+
"loss": 1.4554,
|
| 332 |
+
"step": 255
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 2.3,
|
| 336 |
+
"learning_rate": 4.923795476892822e-05,
|
| 337 |
+
"loss": 1.3716,
|
| 338 |
+
"step": 260
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 2.35,
|
| 342 |
+
"learning_rate": 4.911504424778761e-05,
|
| 343 |
+
"loss": 1.3669,
|
| 344 |
+
"step": 265
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"epoch": 2.39,
|
| 348 |
+
"learning_rate": 4.8992133726647006e-05,
|
| 349 |
+
"loss": 1.4348,
|
| 350 |
+
"step": 270
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 2.43,
|
| 354 |
+
"learning_rate": 4.8869223205506394e-05,
|
| 355 |
+
"loss": 1.275,
|
| 356 |
+
"step": 275
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"epoch": 2.48,
|
| 360 |
+
"learning_rate": 4.874631268436578e-05,
|
| 361 |
+
"loss": 1.4206,
|
| 362 |
+
"step": 280
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 2.52,
|
| 366 |
+
"learning_rate": 4.862340216322517e-05,
|
| 367 |
+
"loss": 1.4962,
|
| 368 |
+
"step": 285
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 2.57,
|
| 372 |
+
"learning_rate": 4.850049164208457e-05,
|
| 373 |
+
"loss": 1.2934,
|
| 374 |
+
"step": 290
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 2.61,
|
| 378 |
+
"learning_rate": 4.8377581120943956e-05,
|
| 379 |
+
"loss": 1.263,
|
| 380 |
+
"step": 295
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 2.65,
|
| 384 |
+
"learning_rate": 4.825467059980335e-05,
|
| 385 |
+
"loss": 1.2592,
|
| 386 |
+
"step": 300
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"epoch": 2.7,
|
| 390 |
+
"learning_rate": 4.813176007866273e-05,
|
| 391 |
+
"loss": 1.1302,
|
| 392 |
+
"step": 305
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"epoch": 2.74,
|
| 396 |
+
"learning_rate": 4.800884955752213e-05,
|
| 397 |
+
"loss": 1.242,
|
| 398 |
+
"step": 310
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"epoch": 2.79,
|
| 402 |
+
"learning_rate": 4.788593903638152e-05,
|
| 403 |
+
"loss": 1.2154,
|
| 404 |
+
"step": 315
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 2.83,
|
| 408 |
+
"learning_rate": 4.776302851524091e-05,
|
| 409 |
+
"loss": 1.1873,
|
| 410 |
+
"step": 320
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 2.88,
|
| 414 |
+
"learning_rate": 4.7640117994100294e-05,
|
| 415 |
+
"loss": 1.2688,
|
| 416 |
+
"step": 325
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 2.92,
|
| 420 |
+
"learning_rate": 4.751720747295968e-05,
|
| 421 |
+
"loss": 1.1488,
|
| 422 |
+
"step": 330
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 2.96,
|
| 426 |
+
"learning_rate": 4.739429695181908e-05,
|
| 427 |
+
"loss": 1.2506,
|
| 428 |
+
"step": 335
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 3.0,
|
| 432 |
+
"eval_accuracy": 0.71,
|
| 433 |
+
"eval_loss": 1.1110644340515137,
|
| 434 |
+
"eval_runtime": 37.2461,
|
| 435 |
+
"eval_samples_per_second": 2.685,
|
| 436 |
+
"eval_steps_per_second": 0.349,
|
| 437 |
+
"step": 339
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 3.01,
|
| 441 |
+
"learning_rate": 4.727138643067847e-05,
|
| 442 |
+
"loss": 1.2124,
|
| 443 |
+
"step": 340
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 3.05,
|
| 447 |
+
"learning_rate": 4.714847590953786e-05,
|
| 448 |
+
"loss": 1.1278,
|
| 449 |
+
"step": 345
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"epoch": 3.1,
|
| 453 |
+
"learning_rate": 4.7025565388397244e-05,
|
| 454 |
+
"loss": 1.1197,
|
| 455 |
+
"step": 350
|
| 456 |
+
},
|
| 457 |
+
{
|
| 458 |
+
"epoch": 3.14,
|
| 459 |
+
"learning_rate": 4.690265486725664e-05,
|
| 460 |
+
"loss": 0.9486,
|
| 461 |
+
"step": 355
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"epoch": 3.19,
|
| 465 |
+
"learning_rate": 4.677974434611603e-05,
|
| 466 |
+
"loss": 1.0949,
|
| 467 |
+
"step": 360
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"epoch": 3.23,
|
| 471 |
+
"learning_rate": 4.6656833824975424e-05,
|
| 472 |
+
"loss": 1.1837,
|
| 473 |
+
"step": 365
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 3.27,
|
| 477 |
+
"learning_rate": 4.655850540806293e-05,
|
| 478 |
+
"loss": 1.0059,
|
| 479 |
+
"step": 370
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 3.32,
|
| 483 |
+
"learning_rate": 4.643559488692232e-05,
|
| 484 |
+
"loss": 1.0395,
|
| 485 |
+
"step": 375
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 3.36,
|
| 489 |
+
"learning_rate": 4.631268436578171e-05,
|
| 490 |
+
"loss": 1.1674,
|
| 491 |
+
"step": 380
|
| 492 |
+
},
|
| 493 |
+
{
|
| 494 |
+
"epoch": 3.41,
|
| 495 |
+
"learning_rate": 4.6189773844641105e-05,
|
| 496 |
+
"loss": 0.9608,
|
| 497 |
+
"step": 385
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"epoch": 3.45,
|
| 501 |
+
"learning_rate": 4.606686332350049e-05,
|
| 502 |
+
"loss": 1.2654,
|
| 503 |
+
"step": 390
|
| 504 |
+
},
|
| 505 |
+
{
|
| 506 |
+
"epoch": 3.5,
|
| 507 |
+
"learning_rate": 4.594395280235988e-05,
|
| 508 |
+
"loss": 0.8788,
|
| 509 |
+
"step": 395
|
| 510 |
+
},
|
| 511 |
+
{
|
| 512 |
+
"epoch": 3.54,
|
| 513 |
+
"learning_rate": 4.582104228121927e-05,
|
| 514 |
+
"loss": 0.9846,
|
| 515 |
+
"step": 400
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 3.58,
|
| 519 |
+
"learning_rate": 4.5698131760078666e-05,
|
| 520 |
+
"loss": 0.8597,
|
| 521 |
+
"step": 405
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 3.63,
|
| 525 |
+
"learning_rate": 4.5575221238938055e-05,
|
| 526 |
+
"loss": 1.1485,
|
| 527 |
+
"step": 410
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 3.67,
|
| 531 |
+
"learning_rate": 4.545231071779745e-05,
|
| 532 |
+
"loss": 1.0469,
|
| 533 |
+
"step": 415
|
| 534 |
+
},
|
| 535 |
+
{
|
| 536 |
+
"epoch": 3.72,
|
| 537 |
+
"learning_rate": 4.532940019665683e-05,
|
| 538 |
+
"loss": 0.9581,
|
| 539 |
+
"step": 420
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 3.76,
|
| 543 |
+
"learning_rate": 4.520648967551623e-05,
|
| 544 |
+
"loss": 0.9821,
|
| 545 |
+
"step": 425
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 3.81,
|
| 549 |
+
"learning_rate": 4.5083579154375616e-05,
|
| 550 |
+
"loss": 1.0122,
|
| 551 |
+
"step": 430
|
| 552 |
+
},
|
| 553 |
+
{
|
| 554 |
+
"epoch": 3.85,
|
| 555 |
+
"learning_rate": 4.496066863323501e-05,
|
| 556 |
+
"loss": 0.8543,
|
| 557 |
+
"step": 435
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 3.89,
|
| 561 |
+
"learning_rate": 4.48377581120944e-05,
|
| 562 |
+
"loss": 0.8246,
|
| 563 |
+
"step": 440
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 3.94,
|
| 567 |
+
"learning_rate": 4.471484759095379e-05,
|
| 568 |
+
"loss": 0.891,
|
| 569 |
+
"step": 445
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 3.98,
|
| 573 |
+
"learning_rate": 4.459193706981318e-05,
|
| 574 |
+
"loss": 1.0517,
|
| 575 |
+
"step": 450
|
| 576 |
+
},
|
| 577 |
+
{
|
| 578 |
+
"epoch": 4.0,
|
| 579 |
+
"eval_accuracy": 0.74,
|
| 580 |
+
"eval_loss": 0.950592041015625,
|
| 581 |
+
"eval_runtime": 37.0565,
|
| 582 |
+
"eval_samples_per_second": 2.699,
|
| 583 |
+
"eval_steps_per_second": 0.351,
|
| 584 |
+
"step": 452
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 4.03,
|
| 588 |
+
"learning_rate": 4.446902654867257e-05,
|
| 589 |
+
"loss": 0.7031,
|
| 590 |
+
"step": 455
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 4.07,
|
| 594 |
+
"learning_rate": 4.434611602753196e-05,
|
| 595 |
+
"loss": 0.6235,
|
| 596 |
+
"step": 460
|
| 597 |
+
},
|
| 598 |
+
{
|
| 599 |
+
"epoch": 4.12,
|
| 600 |
+
"learning_rate": 4.422320550639135e-05,
|
| 601 |
+
"loss": 0.8002,
|
| 602 |
+
"step": 465
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"epoch": 4.16,
|
| 606 |
+
"learning_rate": 4.410029498525074e-05,
|
| 607 |
+
"loss": 0.9738,
|
| 608 |
+
"step": 470
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 4.2,
|
| 612 |
+
"learning_rate": 4.397738446411013e-05,
|
| 613 |
+
"loss": 0.8511,
|
| 614 |
+
"step": 475
|
| 615 |
+
},
|
| 616 |
+
{
|
| 617 |
+
"epoch": 4.25,
|
| 618 |
+
"learning_rate": 4.385447394296952e-05,
|
| 619 |
+
"loss": 0.6335,
|
| 620 |
+
"step": 480
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 4.29,
|
| 624 |
+
"learning_rate": 4.373156342182891e-05,
|
| 625 |
+
"loss": 0.644,
|
| 626 |
+
"step": 485
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 4.34,
|
| 630 |
+
"learning_rate": 4.36086529006883e-05,
|
| 631 |
+
"loss": 0.8481,
|
| 632 |
+
"step": 490
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 4.38,
|
| 636 |
+
"learning_rate": 4.348574237954769e-05,
|
| 637 |
+
"loss": 0.6972,
|
| 638 |
+
"step": 495
|
| 639 |
+
},
|
| 640 |
+
{
|
| 641 |
+
"epoch": 4.42,
|
| 642 |
+
"learning_rate": 4.3362831858407084e-05,
|
| 643 |
+
"loss": 0.8044,
|
| 644 |
+
"step": 500
|
| 645 |
+
},
|
| 646 |
+
{
|
| 647 |
+
"epoch": 4.47,
|
| 648 |
+
"learning_rate": 4.323992133726647e-05,
|
| 649 |
+
"loss": 0.7073,
|
| 650 |
+
"step": 505
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"epoch": 4.51,
|
| 654 |
+
"learning_rate": 4.311701081612586e-05,
|
| 655 |
+
"loss": 0.8473,
|
| 656 |
+
"step": 510
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"epoch": 4.56,
|
| 660 |
+
"learning_rate": 4.301868239921337e-05,
|
| 661 |
+
"loss": 0.7983,
|
| 662 |
+
"step": 515
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 4.6,
|
| 666 |
+
"learning_rate": 4.2895771878072765e-05,
|
| 667 |
+
"loss": 0.5702,
|
| 668 |
+
"step": 520
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 4.65,
|
| 672 |
+
"learning_rate": 4.2772861356932154e-05,
|
| 673 |
+
"loss": 0.649,
|
| 674 |
+
"step": 525
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 4.69,
|
| 678 |
+
"learning_rate": 4.264995083579155e-05,
|
| 679 |
+
"loss": 0.6669,
|
| 680 |
+
"step": 530
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"epoch": 4.73,
|
| 684 |
+
"learning_rate": 4.252704031465093e-05,
|
| 685 |
+
"loss": 0.5829,
|
| 686 |
+
"step": 535
|
| 687 |
+
},
|
| 688 |
+
{
|
| 689 |
+
"epoch": 4.78,
|
| 690 |
+
"learning_rate": 4.2404129793510327e-05,
|
| 691 |
+
"loss": 0.65,
|
| 692 |
+
"step": 540
|
| 693 |
+
},
|
| 694 |
+
{
|
| 695 |
+
"epoch": 4.82,
|
| 696 |
+
"learning_rate": 4.2281219272369715e-05,
|
| 697 |
+
"loss": 0.81,
|
| 698 |
+
"step": 545
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 4.87,
|
| 702 |
+
"learning_rate": 4.215830875122911e-05,
|
| 703 |
+
"loss": 0.7507,
|
| 704 |
+
"step": 550
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 4.91,
|
| 708 |
+
"learning_rate": 4.20353982300885e-05,
|
| 709 |
+
"loss": 0.6655,
|
| 710 |
+
"step": 555
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 4.96,
|
| 714 |
+
"learning_rate": 4.191248770894789e-05,
|
| 715 |
+
"loss": 0.6181,
|
| 716 |
+
"step": 560
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 5.0,
|
| 720 |
+
"learning_rate": 4.178957718780728e-05,
|
| 721 |
+
"loss": 0.8272,
|
| 722 |
+
"step": 565
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 5.0,
|
| 726 |
+
"eval_accuracy": 0.83,
|
| 727 |
+
"eval_loss": 0.7394164800643921,
|
| 728 |
+
"eval_runtime": 37.0651,
|
| 729 |
+
"eval_samples_per_second": 2.698,
|
| 730 |
+
"eval_steps_per_second": 0.351,
|
| 731 |
+
"step": 565
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 5.04,
|
| 735 |
+
"learning_rate": 4.166666666666667e-05,
|
| 736 |
+
"loss": 0.6379,
|
| 737 |
+
"step": 570
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 5.09,
|
| 741 |
+
"learning_rate": 4.154375614552606e-05,
|
| 742 |
+
"loss": 0.5593,
|
| 743 |
+
"step": 575
|
| 744 |
+
},
|
| 745 |
+
{
|
| 746 |
+
"epoch": 5.13,
|
| 747 |
+
"learning_rate": 4.142084562438545e-05,
|
| 748 |
+
"loss": 0.524,
|
| 749 |
+
"step": 580
|
| 750 |
+
},
|
| 751 |
+
{
|
| 752 |
+
"epoch": 5.18,
|
| 753 |
+
"learning_rate": 4.129793510324484e-05,
|
| 754 |
+
"loss": 0.4926,
|
| 755 |
+
"step": 585
|
| 756 |
+
},
|
| 757 |
+
{
|
| 758 |
+
"epoch": 5.22,
|
| 759 |
+
"learning_rate": 4.1175024582104233e-05,
|
| 760 |
+
"loss": 0.6712,
|
| 761 |
+
"step": 590
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 5.27,
|
| 765 |
+
"learning_rate": 4.105211406096362e-05,
|
| 766 |
+
"loss": 0.59,
|
| 767 |
+
"step": 595
|
| 768 |
+
},
|
| 769 |
+
{
|
| 770 |
+
"epoch": 5.31,
|
| 771 |
+
"learning_rate": 4.092920353982301e-05,
|
| 772 |
+
"loss": 0.3684,
|
| 773 |
+
"step": 600
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 5.35,
|
| 777 |
+
"learning_rate": 4.08062930186824e-05,
|
| 778 |
+
"loss": 0.5484,
|
| 779 |
+
"step": 605
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 5.4,
|
| 783 |
+
"learning_rate": 4.068338249754179e-05,
|
| 784 |
+
"loss": 0.4718,
|
| 785 |
+
"step": 610
|
| 786 |
+
},
|
| 787 |
+
{
|
| 788 |
+
"epoch": 5.44,
|
| 789 |
+
"learning_rate": 4.0560471976401183e-05,
|
| 790 |
+
"loss": 0.5205,
|
| 791 |
+
"step": 615
|
| 792 |
+
},
|
| 793 |
+
{
|
| 794 |
+
"epoch": 5.49,
|
| 795 |
+
"learning_rate": 4.043756145526057e-05,
|
| 796 |
+
"loss": 0.4103,
|
| 797 |
+
"step": 620
|
| 798 |
+
},
|
| 799 |
+
{
|
| 800 |
+
"epoch": 5.53,
|
| 801 |
+
"learning_rate": 4.031465093411996e-05,
|
| 802 |
+
"loss": 0.6238,
|
| 803 |
+
"step": 625
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"epoch": 5.58,
|
| 807 |
+
"learning_rate": 4.019174041297935e-05,
|
| 808 |
+
"loss": 0.391,
|
| 809 |
+
"step": 630
|
| 810 |
+
},
|
| 811 |
+
{
|
| 812 |
+
"epoch": 5.62,
|
| 813 |
+
"learning_rate": 4.0068829891838745e-05,
|
| 814 |
+
"loss": 0.626,
|
| 815 |
+
"step": 635
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 5.66,
|
| 819 |
+
"learning_rate": 3.9945919370698133e-05,
|
| 820 |
+
"loss": 0.5142,
|
| 821 |
+
"step": 640
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 5.71,
|
| 825 |
+
"learning_rate": 3.982300884955752e-05,
|
| 826 |
+
"loss": 0.5664,
|
| 827 |
+
"step": 645
|
| 828 |
+
},
|
| 829 |
+
{
|
| 830 |
+
"epoch": 5.75,
|
| 831 |
+
"learning_rate": 3.970009832841691e-05,
|
| 832 |
+
"loss": 0.3242,
|
| 833 |
+
"step": 650
|
| 834 |
+
},
|
| 835 |
+
{
|
| 836 |
+
"epoch": 5.8,
|
| 837 |
+
"learning_rate": 3.9577187807276306e-05,
|
| 838 |
+
"loss": 0.4262,
|
| 839 |
+
"step": 655
|
| 840 |
+
},
|
| 841 |
+
{
|
| 842 |
+
"epoch": 5.84,
|
| 843 |
+
"learning_rate": 3.9454277286135695e-05,
|
| 844 |
+
"loss": 0.6169,
|
| 845 |
+
"step": 660
|
| 846 |
+
},
|
| 847 |
+
{
|
| 848 |
+
"epoch": 5.88,
|
| 849 |
+
"learning_rate": 3.9331366764995083e-05,
|
| 850 |
+
"loss": 0.436,
|
| 851 |
+
"step": 665
|
| 852 |
+
},
|
| 853 |
+
{
|
| 854 |
+
"epoch": 5.93,
|
| 855 |
+
"learning_rate": 3.920845624385447e-05,
|
| 856 |
+
"loss": 0.2636,
|
| 857 |
+
"step": 670
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 5.97,
|
| 861 |
+
"learning_rate": 3.908554572271387e-05,
|
| 862 |
+
"loss": 0.3728,
|
| 863 |
+
"step": 675
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 6.0,
|
| 867 |
+
"eval_accuracy": 0.81,
|
| 868 |
+
"eval_loss": 0.6849124431610107,
|
| 869 |
+
"eval_runtime": 37.0876,
|
| 870 |
+
"eval_samples_per_second": 2.696,
|
| 871 |
+
"eval_steps_per_second": 0.351,
|
| 872 |
+
"step": 678
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 6.02,
|
| 876 |
+
"learning_rate": 3.8962635201573256e-05,
|
| 877 |
+
"loss": 0.4045,
|
| 878 |
+
"step": 680
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 6.06,
|
| 882 |
+
"learning_rate": 3.883972468043265e-05,
|
| 883 |
+
"loss": 0.2084,
|
| 884 |
+
"step": 685
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 6.11,
|
| 888 |
+
"learning_rate": 3.8716814159292034e-05,
|
| 889 |
+
"loss": 0.3604,
|
| 890 |
+
"step": 690
|
| 891 |
+
},
|
| 892 |
+
{
|
| 893 |
+
"epoch": 6.15,
|
| 894 |
+
"learning_rate": 3.859390363815143e-05,
|
| 895 |
+
"loss": 0.3663,
|
| 896 |
+
"step": 695
|
| 897 |
+
},
|
| 898 |
+
{
|
| 899 |
+
"epoch": 6.19,
|
| 900 |
+
"learning_rate": 3.847099311701082e-05,
|
| 901 |
+
"loss": 0.3161,
|
| 902 |
+
"step": 700
|
| 903 |
+
},
|
| 904 |
+
{
|
| 905 |
+
"epoch": 6.24,
|
| 906 |
+
"learning_rate": 3.834808259587021e-05,
|
| 907 |
+
"loss": 0.4456,
|
| 908 |
+
"step": 705
|
| 909 |
+
},
|
| 910 |
+
{
|
| 911 |
+
"epoch": 6.28,
|
| 912 |
+
"learning_rate": 3.82251720747296e-05,
|
| 913 |
+
"loss": 0.2935,
|
| 914 |
+
"step": 710
|
| 915 |
+
},
|
| 916 |
+
{
|
| 917 |
+
"epoch": 6.33,
|
| 918 |
+
"learning_rate": 3.810226155358899e-05,
|
| 919 |
+
"loss": 0.2577,
|
| 920 |
+
"step": 715
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 6.37,
|
| 924 |
+
"learning_rate": 3.797935103244838e-05,
|
| 925 |
+
"loss": 0.2841,
|
| 926 |
+
"step": 720
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 6.42,
|
| 930 |
+
"learning_rate": 3.7856440511307774e-05,
|
| 931 |
+
"loss": 0.2892,
|
| 932 |
+
"step": 725
|
| 933 |
+
},
|
| 934 |
+
{
|
| 935 |
+
"epoch": 6.46,
|
| 936 |
+
"learning_rate": 3.773352999016716e-05,
|
| 937 |
+
"loss": 0.2578,
|
| 938 |
+
"step": 730
|
| 939 |
+
},
|
| 940 |
+
{
|
| 941 |
+
"epoch": 6.5,
|
| 942 |
+
"learning_rate": 3.7610619469026545e-05,
|
| 943 |
+
"loss": 0.2938,
|
| 944 |
+
"step": 735
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"epoch": 6.55,
|
| 948 |
+
"learning_rate": 3.748770894788594e-05,
|
| 949 |
+
"loss": 0.2936,
|
| 950 |
+
"step": 740
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 6.59,
|
| 954 |
+
"learning_rate": 3.736479842674533e-05,
|
| 955 |
+
"loss": 0.426,
|
| 956 |
+
"step": 745
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 6.64,
|
| 960 |
+
"learning_rate": 3.7241887905604724e-05,
|
| 961 |
+
"loss": 0.2328,
|
| 962 |
+
"step": 750
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 6.68,
|
| 966 |
+
"learning_rate": 3.711897738446411e-05,
|
| 967 |
+
"loss": 0.2715,
|
| 968 |
+
"step": 755
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 6.73,
|
| 972 |
+
"learning_rate": 3.69960668633235e-05,
|
| 973 |
+
"loss": 0.3068,
|
| 974 |
+
"step": 760
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"epoch": 6.77,
|
| 978 |
+
"learning_rate": 3.687315634218289e-05,
|
| 979 |
+
"loss": 0.4009,
|
| 980 |
+
"step": 765
|
| 981 |
+
},
|
| 982 |
+
{
|
| 983 |
+
"epoch": 6.81,
|
| 984 |
+
"learning_rate": 3.6750245821042286e-05,
|
| 985 |
+
"loss": 0.3685,
|
| 986 |
+
"step": 770
|
| 987 |
+
},
|
| 988 |
+
{
|
| 989 |
+
"epoch": 6.86,
|
| 990 |
+
"learning_rate": 3.6627335299901674e-05,
|
| 991 |
+
"loss": 0.3065,
|
| 992 |
+
"step": 775
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 6.9,
|
| 996 |
+
"learning_rate": 3.650442477876106e-05,
|
| 997 |
+
"loss": 0.2677,
|
| 998 |
+
"step": 780
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"epoch": 6.95,
|
| 1002 |
+
"learning_rate": 3.638151425762045e-05,
|
| 1003 |
+
"loss": 0.3096,
|
| 1004 |
+
"step": 785
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 6.99,
|
| 1008 |
+
"learning_rate": 3.625860373647985e-05,
|
| 1009 |
+
"loss": 0.3878,
|
| 1010 |
+
"step": 790
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 7.0,
|
| 1014 |
+
"eval_accuracy": 0.8,
|
| 1015 |
+
"eval_loss": 0.647432267665863,
|
| 1016 |
+
"eval_runtime": 36.7252,
|
| 1017 |
+
"eval_samples_per_second": 2.723,
|
| 1018 |
+
"eval_steps_per_second": 0.354,
|
| 1019 |
+
"step": 791
|
| 1020 |
+
},
|
| 1021 |
+
{
|
| 1022 |
+
"epoch": 7.04,
|
| 1023 |
+
"learning_rate": 3.6135693215339236e-05,
|
| 1024 |
+
"loss": 0.1663,
|
| 1025 |
+
"step": 795
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 7.08,
|
| 1029 |
+
"learning_rate": 3.6012782694198624e-05,
|
| 1030 |
+
"loss": 0.2787,
|
| 1031 |
+
"step": 800
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 7.12,
|
| 1035 |
+
"learning_rate": 3.588987217305801e-05,
|
| 1036 |
+
"loss": 0.1559,
|
| 1037 |
+
"step": 805
|
| 1038 |
+
},
|
| 1039 |
+
{
|
| 1040 |
+
"epoch": 7.17,
|
| 1041 |
+
"learning_rate": 3.576696165191741e-05,
|
| 1042 |
+
"loss": 0.1331,
|
| 1043 |
+
"step": 810
|
| 1044 |
+
},
|
| 1045 |
+
{
|
| 1046 |
+
"epoch": 7.21,
|
| 1047 |
+
"learning_rate": 3.56440511307768e-05,
|
| 1048 |
+
"loss": 0.1643,
|
| 1049 |
+
"step": 815
|
| 1050 |
+
},
|
| 1051 |
+
{
|
| 1052 |
+
"epoch": 7.26,
|
| 1053 |
+
"learning_rate": 3.5521140609636186e-05,
|
| 1054 |
+
"loss": 0.1594,
|
| 1055 |
+
"step": 820
|
| 1056 |
+
},
|
| 1057 |
+
{
|
| 1058 |
+
"epoch": 7.3,
|
| 1059 |
+
"learning_rate": 3.54228121927237e-05,
|
| 1060 |
+
"loss": 0.1871,
|
| 1061 |
+
"step": 825
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"epoch": 7.35,
|
| 1065 |
+
"learning_rate": 3.529990167158309e-05,
|
| 1066 |
+
"loss": 0.1745,
|
| 1067 |
+
"step": 830
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 7.39,
|
| 1071 |
+
"learning_rate": 3.517699115044248e-05,
|
| 1072 |
+
"loss": 0.125,
|
| 1073 |
+
"step": 835
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 7.43,
|
| 1077 |
+
"learning_rate": 3.5054080629301874e-05,
|
| 1078 |
+
"loss": 0.1259,
|
| 1079 |
+
"step": 840
|
| 1080 |
+
},
|
| 1081 |
+
{
|
| 1082 |
+
"epoch": 7.48,
|
| 1083 |
+
"learning_rate": 3.493117010816126e-05,
|
| 1084 |
+
"loss": 0.2476,
|
| 1085 |
+
"step": 845
|
| 1086 |
+
},
|
| 1087 |
+
{
|
| 1088 |
+
"epoch": 7.52,
|
| 1089 |
+
"learning_rate": 3.480825958702065e-05,
|
| 1090 |
+
"loss": 0.0858,
|
| 1091 |
+
"step": 850
|
| 1092 |
+
},
|
| 1093 |
+
{
|
| 1094 |
+
"epoch": 7.57,
|
| 1095 |
+
"learning_rate": 3.468534906588004e-05,
|
| 1096 |
+
"loss": 0.1988,
|
| 1097 |
+
"step": 855
|
| 1098 |
+
},
|
| 1099 |
+
{
|
| 1100 |
+
"epoch": 7.61,
|
| 1101 |
+
"learning_rate": 3.4562438544739435e-05,
|
| 1102 |
+
"loss": 0.1398,
|
| 1103 |
+
"step": 860
|
| 1104 |
+
},
|
| 1105 |
+
{
|
| 1106 |
+
"epoch": 7.65,
|
| 1107 |
+
"learning_rate": 3.4439528023598824e-05,
|
| 1108 |
+
"loss": 0.1934,
|
| 1109 |
+
"step": 865
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 7.7,
|
| 1113 |
+
"learning_rate": 3.431661750245821e-05,
|
| 1114 |
+
"loss": 0.0942,
|
| 1115 |
+
"step": 870
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 7.74,
|
| 1119 |
+
"learning_rate": 3.41937069813176e-05,
|
| 1120 |
+
"loss": 0.1991,
|
| 1121 |
+
"step": 875
|
| 1122 |
+
},
|
| 1123 |
+
{
|
| 1124 |
+
"epoch": 7.79,
|
| 1125 |
+
"learning_rate": 3.407079646017699e-05,
|
| 1126 |
+
"loss": 0.1436,
|
| 1127 |
+
"step": 880
|
| 1128 |
+
},
|
| 1129 |
+
{
|
| 1130 |
+
"epoch": 7.83,
|
| 1131 |
+
"learning_rate": 3.3947885939036385e-05,
|
| 1132 |
+
"loss": 0.0865,
|
| 1133 |
+
"step": 885
|
| 1134 |
+
},
|
| 1135 |
+
{
|
| 1136 |
+
"epoch": 7.88,
|
| 1137 |
+
"learning_rate": 3.3824975417895774e-05,
|
| 1138 |
+
"loss": 0.1405,
|
| 1139 |
+
"step": 890
|
| 1140 |
+
},
|
| 1141 |
+
{
|
| 1142 |
+
"epoch": 7.92,
|
| 1143 |
+
"learning_rate": 3.370206489675516e-05,
|
| 1144 |
+
"loss": 0.285,
|
| 1145 |
+
"step": 895
|
| 1146 |
+
},
|
| 1147 |
+
{
|
| 1148 |
+
"epoch": 7.96,
|
| 1149 |
+
"learning_rate": 3.357915437561455e-05,
|
| 1150 |
+
"loss": 0.1119,
|
| 1151 |
+
"step": 900
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"epoch": 8.0,
|
| 1155 |
+
"eval_accuracy": 0.83,
|
| 1156 |
+
"eval_loss": 0.5846229791641235,
|
| 1157 |
+
"eval_runtime": 37.7892,
|
| 1158 |
+
"eval_samples_per_second": 2.646,
|
| 1159 |
+
"eval_steps_per_second": 0.344,
|
| 1160 |
+
"step": 904
|
| 1161 |
+
},
|
| 1162 |
+
{
|
| 1163 |
+
"epoch": 8.01,
|
| 1164 |
+
"learning_rate": 3.3456243854473946e-05,
|
| 1165 |
+
"loss": 0.1696,
|
| 1166 |
+
"step": 905
|
| 1167 |
+
},
|
| 1168 |
+
{
|
| 1169 |
+
"epoch": 8.05,
|
| 1170 |
+
"learning_rate": 3.3333333333333335e-05,
|
| 1171 |
+
"loss": 0.1067,
|
| 1172 |
+
"step": 910
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 8.1,
|
| 1176 |
+
"learning_rate": 3.3210422812192724e-05,
|
| 1177 |
+
"loss": 0.0852,
|
| 1178 |
+
"step": 915
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 8.14,
|
| 1182 |
+
"learning_rate": 3.308751229105211e-05,
|
| 1183 |
+
"loss": 0.1015,
|
| 1184 |
+
"step": 920
|
| 1185 |
+
},
|
| 1186 |
+
{
|
| 1187 |
+
"epoch": 8.19,
|
| 1188 |
+
"learning_rate": 3.296460176991151e-05,
|
| 1189 |
+
"loss": 0.1699,
|
| 1190 |
+
"step": 925
|
| 1191 |
+
},
|
| 1192 |
+
{
|
| 1193 |
+
"epoch": 8.23,
|
| 1194 |
+
"learning_rate": 3.2841691248770896e-05,
|
| 1195 |
+
"loss": 0.0691,
|
| 1196 |
+
"step": 930
|
| 1197 |
+
},
|
| 1198 |
+
{
|
| 1199 |
+
"epoch": 8.27,
|
| 1200 |
+
"learning_rate": 3.2718780727630285e-05,
|
| 1201 |
+
"loss": 0.0661,
|
| 1202 |
+
"step": 935
|
| 1203 |
+
},
|
| 1204 |
+
{
|
| 1205 |
+
"epoch": 8.32,
|
| 1206 |
+
"learning_rate": 3.2595870206489674e-05,
|
| 1207 |
+
"loss": 0.0512,
|
| 1208 |
+
"step": 940
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"epoch": 8.36,
|
| 1212 |
+
"learning_rate": 3.247295968534907e-05,
|
| 1213 |
+
"loss": 0.1003,
|
| 1214 |
+
"step": 945
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 8.41,
|
| 1218 |
+
"learning_rate": 3.235004916420846e-05,
|
| 1219 |
+
"loss": 0.0523,
|
| 1220 |
+
"step": 950
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 8.45,
|
| 1224 |
+
"learning_rate": 3.222713864306785e-05,
|
| 1225 |
+
"loss": 0.0893,
|
| 1226 |
+
"step": 955
|
| 1227 |
+
},
|
| 1228 |
+
{
|
| 1229 |
+
"epoch": 8.5,
|
| 1230 |
+
"learning_rate": 3.2104228121927235e-05,
|
| 1231 |
+
"loss": 0.053,
|
| 1232 |
+
"step": 960
|
| 1233 |
+
},
|
| 1234 |
+
{
|
| 1235 |
+
"epoch": 8.54,
|
| 1236 |
+
"learning_rate": 3.198131760078663e-05,
|
| 1237 |
+
"loss": 0.0592,
|
| 1238 |
+
"step": 965
|
| 1239 |
+
},
|
| 1240 |
+
{
|
| 1241 |
+
"epoch": 8.58,
|
| 1242 |
+
"learning_rate": 3.185840707964602e-05,
|
| 1243 |
+
"loss": 0.0779,
|
| 1244 |
+
"step": 970
|
| 1245 |
+
},
|
| 1246 |
+
{
|
| 1247 |
+
"epoch": 8.63,
|
| 1248 |
+
"learning_rate": 3.1735496558505414e-05,
|
| 1249 |
+
"loss": 0.0611,
|
| 1250 |
+
"step": 975
|
| 1251 |
+
},
|
| 1252 |
+
{
|
| 1253 |
+
"epoch": 8.67,
|
| 1254 |
+
"learning_rate": 3.16125860373648e-05,
|
| 1255 |
+
"loss": 0.0776,
|
| 1256 |
+
"step": 980
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 8.72,
|
| 1260 |
+
"learning_rate": 3.148967551622419e-05,
|
| 1261 |
+
"loss": 0.1722,
|
| 1262 |
+
"step": 985
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 8.76,
|
| 1266 |
+
"learning_rate": 3.136676499508358e-05,
|
| 1267 |
+
"loss": 0.0809,
|
| 1268 |
+
"step": 990
|
| 1269 |
+
},
|
| 1270 |
+
{
|
| 1271 |
+
"epoch": 8.81,
|
| 1272 |
+
"learning_rate": 3.124385447394297e-05,
|
| 1273 |
+
"loss": 0.185,
|
| 1274 |
+
"step": 995
|
| 1275 |
+
},
|
| 1276 |
+
{
|
| 1277 |
+
"epoch": 8.85,
|
| 1278 |
+
"learning_rate": 3.1120943952802364e-05,
|
| 1279 |
+
"loss": 0.0357,
|
| 1280 |
+
"step": 1000
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 8.89,
|
| 1284 |
+
"learning_rate": 3.0998033431661746e-05,
|
| 1285 |
+
"loss": 0.082,
|
| 1286 |
+
"step": 1005
|
| 1287 |
+
},
|
| 1288 |
+
{
|
| 1289 |
+
"epoch": 8.94,
|
| 1290 |
+
"learning_rate": 3.087512291052114e-05,
|
| 1291 |
+
"loss": 0.1928,
|
| 1292 |
+
"step": 1010
|
| 1293 |
+
},
|
| 1294 |
+
{
|
| 1295 |
+
"epoch": 8.98,
|
| 1296 |
+
"learning_rate": 3.075221238938053e-05,
|
| 1297 |
+
"loss": 0.1312,
|
| 1298 |
+
"step": 1015
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 9.0,
|
| 1302 |
+
"eval_accuracy": 0.84,
|
| 1303 |
+
"eval_loss": 0.5652107000350952,
|
| 1304 |
+
"eval_runtime": 36.9689,
|
| 1305 |
+
"eval_samples_per_second": 2.705,
|
| 1306 |
+
"eval_steps_per_second": 0.352,
|
| 1307 |
+
"step": 1017
|
| 1308 |
+
},
|
| 1309 |
+
{
|
| 1310 |
+
"epoch": 9.03,
|
| 1311 |
+
"learning_rate": 3.0629301868239926e-05,
|
| 1312 |
+
"loss": 0.0416,
|
| 1313 |
+
"step": 1020
|
| 1314 |
+
},
|
| 1315 |
+
{
|
| 1316 |
+
"epoch": 9.07,
|
| 1317 |
+
"learning_rate": 3.050639134709931e-05,
|
| 1318 |
+
"loss": 0.1309,
|
| 1319 |
+
"step": 1025
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 9.12,
|
| 1323 |
+
"learning_rate": 3.0383480825958703e-05,
|
| 1324 |
+
"loss": 0.1201,
|
| 1325 |
+
"step": 1030
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 9.16,
|
| 1329 |
+
"learning_rate": 3.0260570304818092e-05,
|
| 1330 |
+
"loss": 0.0265,
|
| 1331 |
+
"step": 1035
|
| 1332 |
+
},
|
| 1333 |
+
{
|
| 1334 |
+
"epoch": 9.2,
|
| 1335 |
+
"learning_rate": 3.0137659783677484e-05,
|
| 1336 |
+
"loss": 0.0291,
|
| 1337 |
+
"step": 1040
|
| 1338 |
+
},
|
| 1339 |
+
{
|
| 1340 |
+
"epoch": 9.25,
|
| 1341 |
+
"learning_rate": 3.0014749262536872e-05,
|
| 1342 |
+
"loss": 0.0306,
|
| 1343 |
+
"step": 1045
|
| 1344 |
+
},
|
| 1345 |
+
{
|
| 1346 |
+
"epoch": 9.29,
|
| 1347 |
+
"learning_rate": 2.9891838741396268e-05,
|
| 1348 |
+
"loss": 0.0262,
|
| 1349 |
+
"step": 1050
|
| 1350 |
+
},
|
| 1351 |
+
{
|
| 1352 |
+
"epoch": 9.34,
|
| 1353 |
+
"learning_rate": 2.9768928220255653e-05,
|
| 1354 |
+
"loss": 0.0262,
|
| 1355 |
+
"step": 1055
|
| 1356 |
+
},
|
| 1357 |
+
{
|
| 1358 |
+
"epoch": 9.38,
|
| 1359 |
+
"learning_rate": 2.964601769911505e-05,
|
| 1360 |
+
"loss": 0.0243,
|
| 1361 |
+
"step": 1060
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"epoch": 9.42,
|
| 1365 |
+
"learning_rate": 2.9523107177974434e-05,
|
| 1366 |
+
"loss": 0.0314,
|
| 1367 |
+
"step": 1065
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 9.47,
|
| 1371 |
+
"learning_rate": 2.940019665683383e-05,
|
| 1372 |
+
"loss": 0.0218,
|
| 1373 |
+
"step": 1070
|
| 1374 |
+
},
|
| 1375 |
+
{
|
| 1376 |
+
"epoch": 9.51,
|
| 1377 |
+
"learning_rate": 2.9277286135693215e-05,
|
| 1378 |
+
"loss": 0.0294,
|
| 1379 |
+
"step": 1075
|
| 1380 |
+
},
|
| 1381 |
+
{
|
| 1382 |
+
"epoch": 9.56,
|
| 1383 |
+
"learning_rate": 2.915437561455261e-05,
|
| 1384 |
+
"loss": 0.0187,
|
| 1385 |
+
"step": 1080
|
| 1386 |
+
},
|
| 1387 |
+
{
|
| 1388 |
+
"epoch": 9.6,
|
| 1389 |
+
"learning_rate": 2.9031465093412e-05,
|
| 1390 |
+
"loss": 0.0614,
|
| 1391 |
+
"step": 1085
|
| 1392 |
+
},
|
| 1393 |
+
{
|
| 1394 |
+
"epoch": 9.65,
|
| 1395 |
+
"learning_rate": 2.890855457227139e-05,
|
| 1396 |
+
"loss": 0.0269,
|
| 1397 |
+
"step": 1090
|
| 1398 |
+
},
|
| 1399 |
+
{
|
| 1400 |
+
"epoch": 9.69,
|
| 1401 |
+
"learning_rate": 2.878564405113078e-05,
|
| 1402 |
+
"loss": 0.0591,
|
| 1403 |
+
"step": 1095
|
| 1404 |
+
},
|
| 1405 |
+
{
|
| 1406 |
+
"epoch": 9.73,
|
| 1407 |
+
"learning_rate": 2.866273352999017e-05,
|
| 1408 |
+
"loss": 0.0282,
|
| 1409 |
+
"step": 1100
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 9.78,
|
| 1413 |
+
"learning_rate": 2.853982300884956e-05,
|
| 1414 |
+
"loss": 0.0242,
|
| 1415 |
+
"step": 1105
|
| 1416 |
+
},
|
| 1417 |
+
{
|
| 1418 |
+
"epoch": 9.82,
|
| 1419 |
+
"learning_rate": 2.8416912487708945e-05,
|
| 1420 |
+
"loss": 0.0709,
|
| 1421 |
+
"step": 1110
|
| 1422 |
+
},
|
| 1423 |
+
{
|
| 1424 |
+
"epoch": 9.87,
|
| 1425 |
+
"learning_rate": 2.829400196656834e-05,
|
| 1426 |
+
"loss": 0.0158,
|
| 1427 |
+
"step": 1115
|
| 1428 |
+
},
|
| 1429 |
+
{
|
| 1430 |
+
"epoch": 9.91,
|
| 1431 |
+
"learning_rate": 2.8171091445427726e-05,
|
| 1432 |
+
"loss": 0.1044,
|
| 1433 |
+
"step": 1120
|
| 1434 |
+
},
|
| 1435 |
+
{
|
| 1436 |
+
"epoch": 9.96,
|
| 1437 |
+
"learning_rate": 2.804818092428712e-05,
|
| 1438 |
+
"loss": 0.0404,
|
| 1439 |
+
"step": 1125
|
| 1440 |
+
},
|
| 1441 |
+
{
|
| 1442 |
+
"epoch": 10.0,
|
| 1443 |
+
"learning_rate": 2.792527040314651e-05,
|
| 1444 |
+
"loss": 0.0149,
|
| 1445 |
+
"step": 1130
|
| 1446 |
+
},
|
| 1447 |
+
{
|
| 1448 |
+
"epoch": 10.0,
|
| 1449 |
+
"eval_accuracy": 0.84,
|
| 1450 |
+
"eval_loss": 0.707106351852417,
|
| 1451 |
+
"eval_runtime": 37.5782,
|
| 1452 |
+
"eval_samples_per_second": 2.661,
|
| 1453 |
+
"eval_steps_per_second": 0.346,
|
| 1454 |
+
"step": 1130
|
| 1455 |
+
},
|
| 1456 |
+
{
|
| 1457 |
+
"epoch": 10.04,
|
| 1458 |
+
"learning_rate": 2.7802359882005902e-05,
|
| 1459 |
+
"loss": 0.1165,
|
| 1460 |
+
"step": 1135
|
| 1461 |
+
},
|
| 1462 |
+
{
|
| 1463 |
+
"epoch": 10.09,
|
| 1464 |
+
"learning_rate": 2.767944936086529e-05,
|
| 1465 |
+
"loss": 0.0129,
|
| 1466 |
+
"step": 1140
|
| 1467 |
+
},
|
| 1468 |
+
{
|
| 1469 |
+
"epoch": 10.13,
|
| 1470 |
+
"learning_rate": 2.7556538839724683e-05,
|
| 1471 |
+
"loss": 0.0624,
|
| 1472 |
+
"step": 1145
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 10.18,
|
| 1476 |
+
"learning_rate": 2.743362831858407e-05,
|
| 1477 |
+
"loss": 0.0272,
|
| 1478 |
+
"step": 1150
|
| 1479 |
+
},
|
| 1480 |
+
{
|
| 1481 |
+
"epoch": 10.22,
|
| 1482 |
+
"learning_rate": 2.7310717797443463e-05,
|
| 1483 |
+
"loss": 0.0176,
|
| 1484 |
+
"step": 1155
|
| 1485 |
+
},
|
| 1486 |
+
{
|
| 1487 |
+
"epoch": 10.27,
|
| 1488 |
+
"learning_rate": 2.7187807276302852e-05,
|
| 1489 |
+
"loss": 0.0138,
|
| 1490 |
+
"step": 1160
|
| 1491 |
+
},
|
| 1492 |
+
{
|
| 1493 |
+
"epoch": 10.31,
|
| 1494 |
+
"learning_rate": 2.7064896755162244e-05,
|
| 1495 |
+
"loss": 0.0138,
|
| 1496 |
+
"step": 1165
|
| 1497 |
+
},
|
| 1498 |
+
{
|
| 1499 |
+
"epoch": 10.35,
|
| 1500 |
+
"learning_rate": 2.6941986234021633e-05,
|
| 1501 |
+
"loss": 0.0177,
|
| 1502 |
+
"step": 1170
|
| 1503 |
+
},
|
| 1504 |
+
{
|
| 1505 |
+
"epoch": 10.4,
|
| 1506 |
+
"learning_rate": 2.6819075712881025e-05,
|
| 1507 |
+
"loss": 0.024,
|
| 1508 |
+
"step": 1175
|
| 1509 |
+
},
|
| 1510 |
+
{
|
| 1511 |
+
"epoch": 10.44,
|
| 1512 |
+
"learning_rate": 2.6696165191740413e-05,
|
| 1513 |
+
"loss": 0.0676,
|
| 1514 |
+
"step": 1180
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 10.49,
|
| 1518 |
+
"learning_rate": 2.6573254670599805e-05,
|
| 1519 |
+
"loss": 0.0112,
|
| 1520 |
+
"step": 1185
|
| 1521 |
+
},
|
| 1522 |
+
{
|
| 1523 |
+
"epoch": 10.53,
|
| 1524 |
+
"learning_rate": 2.6450344149459194e-05,
|
| 1525 |
+
"loss": 0.011,
|
| 1526 |
+
"step": 1190
|
| 1527 |
+
},
|
| 1528 |
+
{
|
| 1529 |
+
"epoch": 10.58,
|
| 1530 |
+
"learning_rate": 2.6327433628318586e-05,
|
| 1531 |
+
"loss": 0.0118,
|
| 1532 |
+
"step": 1195
|
| 1533 |
+
},
|
| 1534 |
+
{
|
| 1535 |
+
"epoch": 10.62,
|
| 1536 |
+
"learning_rate": 2.6204523107177975e-05,
|
| 1537 |
+
"loss": 0.018,
|
| 1538 |
+
"step": 1200
|
| 1539 |
+
},
|
| 1540 |
+
{
|
| 1541 |
+
"epoch": 10.66,
|
| 1542 |
+
"learning_rate": 2.6081612586037367e-05,
|
| 1543 |
+
"loss": 0.017,
|
| 1544 |
+
"step": 1205
|
| 1545 |
+
},
|
| 1546 |
+
{
|
| 1547 |
+
"epoch": 10.71,
|
| 1548 |
+
"learning_rate": 2.5958702064896756e-05,
|
| 1549 |
+
"loss": 0.0117,
|
| 1550 |
+
"step": 1210
|
| 1551 |
+
},
|
| 1552 |
+
{
|
| 1553 |
+
"epoch": 10.75,
|
| 1554 |
+
"learning_rate": 2.583579154375615e-05,
|
| 1555 |
+
"loss": 0.01,
|
| 1556 |
+
"step": 1215
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 10.8,
|
| 1560 |
+
"learning_rate": 2.5712881022615536e-05,
|
| 1561 |
+
"loss": 0.0101,
|
| 1562 |
+
"step": 1220
|
| 1563 |
+
},
|
| 1564 |
+
{
|
| 1565 |
+
"epoch": 10.84,
|
| 1566 |
+
"learning_rate": 2.558997050147493e-05,
|
| 1567 |
+
"loss": 0.017,
|
| 1568 |
+
"step": 1225
|
| 1569 |
+
},
|
| 1570 |
+
{
|
| 1571 |
+
"epoch": 10.88,
|
| 1572 |
+
"learning_rate": 2.5467059980334317e-05,
|
| 1573 |
+
"loss": 0.0094,
|
| 1574 |
+
"step": 1230
|
| 1575 |
+
},
|
| 1576 |
+
{
|
| 1577 |
+
"epoch": 10.93,
|
| 1578 |
+
"learning_rate": 2.5344149459193706e-05,
|
| 1579 |
+
"loss": 0.0085,
|
| 1580 |
+
"step": 1235
|
| 1581 |
+
},
|
| 1582 |
+
{
|
| 1583 |
+
"epoch": 10.97,
|
| 1584 |
+
"learning_rate": 2.5221238938053098e-05,
|
| 1585 |
+
"loss": 0.0154,
|
| 1586 |
+
"step": 1240
|
| 1587 |
+
},
|
| 1588 |
+
{
|
| 1589 |
+
"epoch": 11.0,
|
| 1590 |
+
"eval_accuracy": 0.84,
|
| 1591 |
+
"eval_loss": 0.7669206261634827,
|
| 1592 |
+
"eval_runtime": 37.5505,
|
| 1593 |
+
"eval_samples_per_second": 2.663,
|
| 1594 |
+
"eval_steps_per_second": 0.346,
|
| 1595 |
+
"step": 1243
|
| 1596 |
+
},
|
| 1597 |
+
{
|
| 1598 |
+
"epoch": 11.02,
|
| 1599 |
+
"learning_rate": 2.5098328416912486e-05,
|
| 1600 |
+
"loss": 0.0085,
|
| 1601 |
+
"step": 1245
|
| 1602 |
+
},
|
| 1603 |
+
{
|
| 1604 |
+
"epoch": 11.06,
|
| 1605 |
+
"learning_rate": 2.4975417895771878e-05,
|
| 1606 |
+
"loss": 0.0091,
|
| 1607 |
+
"step": 1250
|
| 1608 |
+
},
|
| 1609 |
+
{
|
| 1610 |
+
"epoch": 11.11,
|
| 1611 |
+
"learning_rate": 2.485250737463127e-05,
|
| 1612 |
+
"loss": 0.0086,
|
| 1613 |
+
"step": 1255
|
| 1614 |
+
},
|
| 1615 |
+
{
|
| 1616 |
+
"epoch": 11.15,
|
| 1617 |
+
"learning_rate": 2.4729596853490662e-05,
|
| 1618 |
+
"loss": 0.0087,
|
| 1619 |
+
"step": 1260
|
| 1620 |
+
},
|
| 1621 |
+
{
|
| 1622 |
+
"epoch": 11.19,
|
| 1623 |
+
"learning_rate": 2.460668633235005e-05,
|
| 1624 |
+
"loss": 0.008,
|
| 1625 |
+
"step": 1265
|
| 1626 |
+
},
|
| 1627 |
+
{
|
| 1628 |
+
"epoch": 11.24,
|
| 1629 |
+
"learning_rate": 2.4483775811209443e-05,
|
| 1630 |
+
"loss": 0.0078,
|
| 1631 |
+
"step": 1270
|
| 1632 |
+
},
|
| 1633 |
+
{
|
| 1634 |
+
"epoch": 11.28,
|
| 1635 |
+
"learning_rate": 2.436086529006883e-05,
|
| 1636 |
+
"loss": 0.0076,
|
| 1637 |
+
"step": 1275
|
| 1638 |
+
},
|
| 1639 |
+
{
|
| 1640 |
+
"epoch": 11.33,
|
| 1641 |
+
"learning_rate": 2.4237954768928224e-05,
|
| 1642 |
+
"loss": 0.0074,
|
| 1643 |
+
"step": 1280
|
| 1644 |
+
},
|
| 1645 |
+
{
|
| 1646 |
+
"epoch": 11.37,
|
| 1647 |
+
"learning_rate": 2.411504424778761e-05,
|
| 1648 |
+
"loss": 0.0076,
|
| 1649 |
+
"step": 1285
|
| 1650 |
+
},
|
| 1651 |
+
{
|
| 1652 |
+
"epoch": 11.42,
|
| 1653 |
+
"learning_rate": 2.3992133726647e-05,
|
| 1654 |
+
"loss": 0.0071,
|
| 1655 |
+
"step": 1290
|
| 1656 |
+
},
|
| 1657 |
+
{
|
| 1658 |
+
"epoch": 11.46,
|
| 1659 |
+
"learning_rate": 2.3869223205506393e-05,
|
| 1660 |
+
"loss": 0.0078,
|
| 1661 |
+
"step": 1295
|
| 1662 |
+
},
|
| 1663 |
+
{
|
| 1664 |
+
"epoch": 11.5,
|
| 1665 |
+
"learning_rate": 2.374631268436578e-05,
|
| 1666 |
+
"loss": 0.0069,
|
| 1667 |
+
"step": 1300
|
| 1668 |
+
},
|
| 1669 |
+
{
|
| 1670 |
+
"epoch": 11.55,
|
| 1671 |
+
"learning_rate": 2.3623402163225174e-05,
|
| 1672 |
+
"loss": 0.0071,
|
| 1673 |
+
"step": 1305
|
| 1674 |
+
},
|
| 1675 |
+
{
|
| 1676 |
+
"epoch": 11.59,
|
| 1677 |
+
"learning_rate": 2.3500491642084562e-05,
|
| 1678 |
+
"loss": 0.0086,
|
| 1679 |
+
"step": 1310
|
| 1680 |
+
},
|
| 1681 |
+
{
|
| 1682 |
+
"epoch": 11.64,
|
| 1683 |
+
"learning_rate": 2.3377581120943954e-05,
|
| 1684 |
+
"loss": 0.0075,
|
| 1685 |
+
"step": 1315
|
| 1686 |
+
},
|
| 1687 |
+
{
|
| 1688 |
+
"epoch": 11.68,
|
| 1689 |
+
"learning_rate": 2.3254670599803343e-05,
|
| 1690 |
+
"loss": 0.0072,
|
| 1691 |
+
"step": 1320
|
| 1692 |
+
},
|
| 1693 |
+
{
|
| 1694 |
+
"epoch": 11.73,
|
| 1695 |
+
"learning_rate": 2.3131760078662735e-05,
|
| 1696 |
+
"loss": 0.0078,
|
| 1697 |
+
"step": 1325
|
| 1698 |
+
},
|
| 1699 |
+
{
|
| 1700 |
+
"epoch": 11.77,
|
| 1701 |
+
"learning_rate": 2.3008849557522124e-05,
|
| 1702 |
+
"loss": 0.0398,
|
| 1703 |
+
"step": 1330
|
| 1704 |
+
},
|
| 1705 |
+
{
|
| 1706 |
+
"epoch": 11.81,
|
| 1707 |
+
"learning_rate": 2.2885939036381516e-05,
|
| 1708 |
+
"loss": 0.0069,
|
| 1709 |
+
"step": 1335
|
| 1710 |
+
},
|
| 1711 |
+
{
|
| 1712 |
+
"epoch": 11.86,
|
| 1713 |
+
"learning_rate": 2.2763028515240904e-05,
|
| 1714 |
+
"loss": 0.0069,
|
| 1715 |
+
"step": 1340
|
| 1716 |
+
},
|
| 1717 |
+
{
|
| 1718 |
+
"epoch": 11.9,
|
| 1719 |
+
"learning_rate": 2.2640117994100296e-05,
|
| 1720 |
+
"loss": 0.0057,
|
| 1721 |
+
"step": 1345
|
| 1722 |
+
},
|
| 1723 |
+
{
|
| 1724 |
+
"epoch": 11.95,
|
| 1725 |
+
"learning_rate": 2.2517207472959685e-05,
|
| 1726 |
+
"loss": 0.0108,
|
| 1727 |
+
"step": 1350
|
| 1728 |
+
},
|
| 1729 |
+
{
|
| 1730 |
+
"epoch": 11.99,
|
| 1731 |
+
"learning_rate": 2.2394296951819077e-05,
|
| 1732 |
+
"loss": 0.1238,
|
| 1733 |
+
"step": 1355
|
| 1734 |
+
},
|
| 1735 |
+
{
|
| 1736 |
+
"epoch": 12.0,
|
| 1737 |
+
"eval_accuracy": 0.87,
|
| 1738 |
+
"eval_loss": 0.7153857350349426,
|
| 1739 |
+
"eval_runtime": 37.3772,
|
| 1740 |
+
"eval_samples_per_second": 2.675,
|
| 1741 |
+
"eval_steps_per_second": 0.348,
|
| 1742 |
+
"step": 1356
|
| 1743 |
+
}
|
| 1744 |
+
],
|
| 1745 |
+
"max_steps": 2260,
|
| 1746 |
+
"num_train_epochs": 20,
|
| 1747 |
+
"total_flos": 3.6803929647744e+17,
|
| 1748 |
+
"trial_name": null,
|
| 1749 |
+
"trial_params": null
|
| 1750 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5a8354dc326f843935d0365262dd9a2d2c1c9ecddc6b717d50fa49ba59768733
|
| 3 |
+
size 3963
|