upload model files
Browse files- config.json +48 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +44 -0
- test-de_results.json +11 -0
- test-en_results.json +11 -0
- test_results.json +11 -0
- tokenizer_config.json +55 -0
- trainer_state.json +3189 -0
- training_args.bin +3 -0
config.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "models/canine-c/meter/run-1/checkpoint-81700",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"CanineForSequenceClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.1,
|
| 7 |
+
"bos_token_id": 57344,
|
| 8 |
+
"downsampling_rate": 4,
|
| 9 |
+
"eos_token_id": 57345,
|
| 10 |
+
"hidden_act": "gelu",
|
| 11 |
+
"hidden_dropout_prob": 0.1,
|
| 12 |
+
"hidden_size": 768,
|
| 13 |
+
"id2label": {
|
| 14 |
+
"0": "LABEL_0",
|
| 15 |
+
"1": "LABEL_1",
|
| 16 |
+
"2": "LABEL_2",
|
| 17 |
+
"3": "LABEL_3",
|
| 18 |
+
"4": "LABEL_4",
|
| 19 |
+
"5": "LABEL_5",
|
| 20 |
+
"6": "LABEL_6"
|
| 21 |
+
},
|
| 22 |
+
"initializer_range": 0.02,
|
| 23 |
+
"intermediate_size": 3072,
|
| 24 |
+
"label2id": {
|
| 25 |
+
"LABEL_0": 0,
|
| 26 |
+
"LABEL_1": 1,
|
| 27 |
+
"LABEL_2": 2,
|
| 28 |
+
"LABEL_3": 3,
|
| 29 |
+
"LABEL_4": 4,
|
| 30 |
+
"LABEL_5": 5,
|
| 31 |
+
"LABEL_6": 6
|
| 32 |
+
},
|
| 33 |
+
"layer_norm_eps": 1e-12,
|
| 34 |
+
"local_transformer_stride": 128,
|
| 35 |
+
"max_position_embeddings": 16384,
|
| 36 |
+
"model_type": "canine",
|
| 37 |
+
"num_attention_heads": 12,
|
| 38 |
+
"num_hash_buckets": 16384,
|
| 39 |
+
"num_hash_functions": 8,
|
| 40 |
+
"num_hidden_layers": 12,
|
| 41 |
+
"pad_token_id": 0,
|
| 42 |
+
"problem_type": "single_label_classification",
|
| 43 |
+
"torch_dtype": "float32",
|
| 44 |
+
"transformers_version": "4.20.0",
|
| 45 |
+
"type_vocab_size": 16,
|
| 46 |
+
"upsampling_kernel_size": 4,
|
| 47 |
+
"use_cache": true
|
| 48 |
+
}
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ca2394e51b4ca39724bece986bd937e2a2ae3d8ad430ef265fdbba62aa76a328
|
| 3 |
+
size 528568015
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": true,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"cls_token": {
|
| 10 |
+
"content": "",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": true,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"eos_token": {
|
| 17 |
+
"content": "",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": true,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"mask_token": {
|
| 24 |
+
"content": "",
|
| 25 |
+
"lstrip": true,
|
| 26 |
+
"normalized": true,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"pad_token": {
|
| 31 |
+
"content": "\u0000",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": true,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
},
|
| 37 |
+
"sep_token": {
|
| 38 |
+
"content": "",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": true,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false
|
| 43 |
+
}
|
| 44 |
+
}
|
test-de_results.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 100.0,
|
| 3 |
+
"test_accuracy": 0.7777777777777778,
|
| 4 |
+
"test_f1": 0.53644033718575,
|
| 5 |
+
"test_loss": 2.2133560180664062,
|
| 6 |
+
"test_precision": 0.5642564642564641,
|
| 7 |
+
"test_recall": 0.5213481314360918,
|
| 8 |
+
"test_runtime": 0.2798,
|
| 9 |
+
"test_samples_per_second": 611.236,
|
| 10 |
+
"test_steps_per_second": 78.639
|
| 11 |
+
}
|
test-en_results.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 100.0,
|
| 3 |
+
"test_accuracy": 0.6580310880829016,
|
| 4 |
+
"test_f1": 0.45326536391956956,
|
| 5 |
+
"test_loss": 3.5779941082000732,
|
| 6 |
+
"test_precision": 0.48238947630540546,
|
| 7 |
+
"test_recall": 0.4350463560944953,
|
| 8 |
+
"test_runtime": 0.3171,
|
| 9 |
+
"test_samples_per_second": 608.634,
|
| 10 |
+
"test_steps_per_second": 78.839
|
| 11 |
+
}
|
test_results.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 100.0,
|
| 3 |
+
"test_accuracy": 0.7087912087912088,
|
| 4 |
+
"test_f1": 0.5848789835776328,
|
| 5 |
+
"test_loss": 2.9805569648742676,
|
| 6 |
+
"test_precision": 0.6035925656852257,
|
| 7 |
+
"test_recall": 0.5702147059289916,
|
| 8 |
+
"test_runtime": 0.58,
|
| 9 |
+
"test_samples_per_second": 627.64,
|
| 10 |
+
"test_steps_per_second": 79.317
|
| 11 |
+
}
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,55 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"bos_token": {
|
| 4 |
+
"__type": "AddedToken",
|
| 5 |
+
"content": "",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": true,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false
|
| 10 |
+
},
|
| 11 |
+
"cls_token": {
|
| 12 |
+
"__type": "AddedToken",
|
| 13 |
+
"content": "",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": true,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false
|
| 18 |
+
},
|
| 19 |
+
"eos_token": {
|
| 20 |
+
"__type": "AddedToken",
|
| 21 |
+
"content": "",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": true,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false
|
| 26 |
+
},
|
| 27 |
+
"mask_token": {
|
| 28 |
+
"__type": "AddedToken",
|
| 29 |
+
"content": "",
|
| 30 |
+
"lstrip": true,
|
| 31 |
+
"normalized": true,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false
|
| 34 |
+
},
|
| 35 |
+
"model_max_length": 2048,
|
| 36 |
+
"name_or_path": "google/canine-c",
|
| 37 |
+
"pad_token": {
|
| 38 |
+
"__type": "AddedToken",
|
| 39 |
+
"content": "\u0000",
|
| 40 |
+
"lstrip": false,
|
| 41 |
+
"normalized": true,
|
| 42 |
+
"rstrip": false,
|
| 43 |
+
"single_word": false
|
| 44 |
+
},
|
| 45 |
+
"sep_token": {
|
| 46 |
+
"__type": "AddedToken",
|
| 47 |
+
"content": "",
|
| 48 |
+
"lstrip": false,
|
| 49 |
+
"normalized": true,
|
| 50 |
+
"rstrip": false,
|
| 51 |
+
"single_word": false
|
| 52 |
+
},
|
| 53 |
+
"special_tokens_map_file": "/home/jbelouadi/.cache/huggingface/transformers/f8be97736b4765e3e8d559b4e7d4f1f531b1621150e5344b600684a27bc84e38.ab71f530366fe02e2834427e7b90198bfd0d573bc4279bfafdb2b95fe2b46dde",
|
| 54 |
+
"tokenizer_class": "CanineTokenizer"
|
| 55 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,3189 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 100.0,
|
| 5 |
+
"global_step": 81700,
|
| 6 |
+
"is_hyper_param_search": true,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.0,
|
| 12 |
+
"learning_rate": 6.119951040391677e-09,
|
| 13 |
+
"loss": 1.9236,
|
| 14 |
+
"step": 1
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.31,
|
| 18 |
+
"learning_rate": 1.5299877600979192e-06,
|
| 19 |
+
"loss": 1.7998,
|
| 20 |
+
"step": 250
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.61,
|
| 24 |
+
"learning_rate": 3.0599755201958383e-06,
|
| 25 |
+
"loss": 1.4687,
|
| 26 |
+
"step": 500
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.92,
|
| 30 |
+
"learning_rate": 4.589963280293758e-06,
|
| 31 |
+
"loss": 1.3699,
|
| 32 |
+
"step": 750
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 1.0,
|
| 36 |
+
"eval_accuracy": 0.5730027548209367,
|
| 37 |
+
"eval_f1": 0.10407805854390793,
|
| 38 |
+
"eval_loss": 1.3314192295074463,
|
| 39 |
+
"eval_precision": 0.08185753640299095,
|
| 40 |
+
"eval_recall": 0.14285714285714285,
|
| 41 |
+
"eval_runtime": 0.5773,
|
| 42 |
+
"eval_samples_per_second": 628.824,
|
| 43 |
+
"eval_steps_per_second": 79.686,
|
| 44 |
+
"step": 817
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 1.22,
|
| 48 |
+
"learning_rate": 6.119951040391677e-06,
|
| 49 |
+
"loss": 1.3287,
|
| 50 |
+
"step": 1000
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 1.53,
|
| 54 |
+
"learning_rate": 7.649938800489596e-06,
|
| 55 |
+
"loss": 1.3002,
|
| 56 |
+
"step": 1250
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 1.84,
|
| 60 |
+
"learning_rate": 9.179926560587515e-06,
|
| 61 |
+
"loss": 1.258,
|
| 62 |
+
"step": 1500
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 2.0,
|
| 66 |
+
"eval_accuracy": 0.6060606060606061,
|
| 67 |
+
"eval_f1": 0.183279210886012,
|
| 68 |
+
"eval_loss": 1.1635808944702148,
|
| 69 |
+
"eval_precision": 0.15974025974025974,
|
| 70 |
+
"eval_recall": 0.21892762410003788,
|
| 71 |
+
"eval_runtime": 0.5777,
|
| 72 |
+
"eval_samples_per_second": 628.372,
|
| 73 |
+
"eval_steps_per_second": 79.628,
|
| 74 |
+
"step": 1634
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 2.14,
|
| 78 |
+
"learning_rate": 1.0709914320685436e-05,
|
| 79 |
+
"loss": 1.1884,
|
| 80 |
+
"step": 1750
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 2.45,
|
| 84 |
+
"learning_rate": 1.2239902080783353e-05,
|
| 85 |
+
"loss": 1.1126,
|
| 86 |
+
"step": 2000
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 2.75,
|
| 90 |
+
"learning_rate": 1.3769889840881272e-05,
|
| 91 |
+
"loss": 1.1123,
|
| 92 |
+
"step": 2250
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 3.0,
|
| 96 |
+
"eval_accuracy": 0.6143250688705234,
|
| 97 |
+
"eval_f1": 0.342984622186972,
|
| 98 |
+
"eval_loss": 1.053414225578308,
|
| 99 |
+
"eval_precision": 0.31294195637816785,
|
| 100 |
+
"eval_recall": 0.3835992619859615,
|
| 101 |
+
"eval_runtime": 0.5781,
|
| 102 |
+
"eval_samples_per_second": 627.939,
|
| 103 |
+
"eval_steps_per_second": 79.574,
|
| 104 |
+
"step": 2451
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 3.06,
|
| 108 |
+
"learning_rate": 1.5299877600979193e-05,
|
| 109 |
+
"loss": 1.0996,
|
| 110 |
+
"step": 2500
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 3.37,
|
| 114 |
+
"learning_rate": 1.6829865361077112e-05,
|
| 115 |
+
"loss": 0.9999,
|
| 116 |
+
"step": 2750
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 3.67,
|
| 120 |
+
"learning_rate": 1.835985312117503e-05,
|
| 121 |
+
"loss": 1.0141,
|
| 122 |
+
"step": 3000
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 3.98,
|
| 126 |
+
"learning_rate": 1.988984088127295e-05,
|
| 127 |
+
"loss": 0.993,
|
| 128 |
+
"step": 3250
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 4.0,
|
| 132 |
+
"eval_accuracy": 0.6528925619834711,
|
| 133 |
+
"eval_f1": 0.377005484318265,
|
| 134 |
+
"eval_loss": 1.0341299772262573,
|
| 135 |
+
"eval_precision": 0.4038621706705789,
|
| 136 |
+
"eval_recall": 0.4236673117522871,
|
| 137 |
+
"eval_runtime": 0.5774,
|
| 138 |
+
"eval_samples_per_second": 628.627,
|
| 139 |
+
"eval_steps_per_second": 79.661,
|
| 140 |
+
"step": 3268
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"epoch": 4.28,
|
| 144 |
+
"learning_rate": 2.1419828641370872e-05,
|
| 145 |
+
"loss": 0.8827,
|
| 146 |
+
"step": 3500
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 4.59,
|
| 150 |
+
"learning_rate": 2.294981640146879e-05,
|
| 151 |
+
"loss": 0.9059,
|
| 152 |
+
"step": 3750
|
| 153 |
+
},
|
| 154 |
+
{
|
| 155 |
+
"epoch": 4.9,
|
| 156 |
+
"learning_rate": 2.4479804161566707e-05,
|
| 157 |
+
"loss": 0.8739,
|
| 158 |
+
"step": 4000
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 5.0,
|
| 162 |
+
"eval_accuracy": 0.6611570247933884,
|
| 163 |
+
"eval_f1": 0.3730793016507302,
|
| 164 |
+
"eval_loss": 0.9818496704101562,
|
| 165 |
+
"eval_precision": 0.48520306297883803,
|
| 166 |
+
"eval_recall": 0.39812740967297616,
|
| 167 |
+
"eval_runtime": 0.5781,
|
| 168 |
+
"eval_samples_per_second": 627.881,
|
| 169 |
+
"eval_steps_per_second": 79.566,
|
| 170 |
+
"step": 4085
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 5.2,
|
| 174 |
+
"learning_rate": 2.600979192166463e-05,
|
| 175 |
+
"loss": 0.8024,
|
| 176 |
+
"step": 4250
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 5.51,
|
| 180 |
+
"learning_rate": 2.7539779681762544e-05,
|
| 181 |
+
"loss": 0.8021,
|
| 182 |
+
"step": 4500
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"epoch": 5.81,
|
| 186 |
+
"learning_rate": 2.9069767441860467e-05,
|
| 187 |
+
"loss": 0.8587,
|
| 188 |
+
"step": 4750
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 6.0,
|
| 192 |
+
"eval_accuracy": 0.6446280991735537,
|
| 193 |
+
"eval_f1": 0.372084738159454,
|
| 194 |
+
"eval_loss": 1.1154053211212158,
|
| 195 |
+
"eval_precision": 0.4065005040497793,
|
| 196 |
+
"eval_recall": 0.38243464936814686,
|
| 197 |
+
"eval_runtime": 0.5773,
|
| 198 |
+
"eval_samples_per_second": 628.792,
|
| 199 |
+
"eval_steps_per_second": 79.682,
|
| 200 |
+
"step": 4902
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 6.12,
|
| 204 |
+
"learning_rate": 3.0599755201958386e-05,
|
| 205 |
+
"loss": 0.7567,
|
| 206 |
+
"step": 5000
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 6.43,
|
| 210 |
+
"learning_rate": 3.2123623011015916e-05,
|
| 211 |
+
"loss": 0.6544,
|
| 212 |
+
"step": 5250
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 6.73,
|
| 216 |
+
"learning_rate": 3.365361077111383e-05,
|
| 217 |
+
"loss": 0.7251,
|
| 218 |
+
"step": 5500
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 7.0,
|
| 222 |
+
"eval_accuracy": 0.650137741046832,
|
| 223 |
+
"eval_f1": 0.47516667580958355,
|
| 224 |
+
"eval_loss": 1.0870000123977661,
|
| 225 |
+
"eval_precision": 0.4639813382108336,
|
| 226 |
+
"eval_recall": 0.4947985272800543,
|
| 227 |
+
"eval_runtime": 0.5771,
|
| 228 |
+
"eval_samples_per_second": 628.974,
|
| 229 |
+
"eval_steps_per_second": 79.705,
|
| 230 |
+
"step": 5719
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 7.04,
|
| 234 |
+
"learning_rate": 3.5183598531211754e-05,
|
| 235 |
+
"loss": 0.6829,
|
| 236 |
+
"step": 5750
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 7.34,
|
| 240 |
+
"learning_rate": 3.6707466340269284e-05,
|
| 241 |
+
"loss": 0.5838,
|
| 242 |
+
"step": 6000
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 7.65,
|
| 246 |
+
"learning_rate": 3.82374541003672e-05,
|
| 247 |
+
"loss": 0.6713,
|
| 248 |
+
"step": 6250
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 7.96,
|
| 252 |
+
"learning_rate": 3.9767441860465115e-05,
|
| 253 |
+
"loss": 0.6269,
|
| 254 |
+
"step": 6500
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 8.0,
|
| 258 |
+
"eval_accuracy": 0.5950413223140496,
|
| 259 |
+
"eval_f1": 0.44966469663834185,
|
| 260 |
+
"eval_loss": 1.2386085987091064,
|
| 261 |
+
"eval_precision": 0.4427425690783476,
|
| 262 |
+
"eval_recall": 0.5007950793049315,
|
| 263 |
+
"eval_runtime": 0.5812,
|
| 264 |
+
"eval_samples_per_second": 624.61,
|
| 265 |
+
"eval_steps_per_second": 79.152,
|
| 266 |
+
"step": 6536
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"epoch": 8.26,
|
| 270 |
+
"learning_rate": 4.129742962056304e-05,
|
| 271 |
+
"loss": 0.5744,
|
| 272 |
+
"step": 6750
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 8.57,
|
| 276 |
+
"learning_rate": 4.282741738066095e-05,
|
| 277 |
+
"loss": 0.5549,
|
| 278 |
+
"step": 7000
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 8.87,
|
| 282 |
+
"learning_rate": 4.435740514075888e-05,
|
| 283 |
+
"loss": 0.6049,
|
| 284 |
+
"step": 7250
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 9.0,
|
| 288 |
+
"eval_accuracy": 0.6198347107438017,
|
| 289 |
+
"eval_f1": 0.32356296980065924,
|
| 290 |
+
"eval_loss": 1.368962287902832,
|
| 291 |
+
"eval_precision": 0.47826317360800125,
|
| 292 |
+
"eval_recall": 0.30602226522793025,
|
| 293 |
+
"eval_runtime": 0.5769,
|
| 294 |
+
"eval_samples_per_second": 629.173,
|
| 295 |
+
"eval_steps_per_second": 79.73,
|
| 296 |
+
"step": 7353
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 9.18,
|
| 300 |
+
"learning_rate": 4.58873929008568e-05,
|
| 301 |
+
"loss": 0.5767,
|
| 302 |
+
"step": 7500
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"epoch": 9.49,
|
| 306 |
+
"learning_rate": 4.741738066095471e-05,
|
| 307 |
+
"loss": 0.5394,
|
| 308 |
+
"step": 7750
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 9.79,
|
| 312 |
+
"learning_rate": 4.894124847001224e-05,
|
| 313 |
+
"loss": 0.5507,
|
| 314 |
+
"step": 8000
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 10.0,
|
| 318 |
+
"eval_accuracy": 0.6446280991735537,
|
| 319 |
+
"eval_f1": 0.4573642555682361,
|
| 320 |
+
"eval_loss": 1.2706860303878784,
|
| 321 |
+
"eval_precision": 0.4887882409493839,
|
| 322 |
+
"eval_recall": 0.4411244714508261,
|
| 323 |
+
"eval_runtime": 0.5758,
|
| 324 |
+
"eval_samples_per_second": 630.429,
|
| 325 |
+
"eval_steps_per_second": 79.889,
|
| 326 |
+
"step": 8170
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 10.1,
|
| 330 |
+
"learning_rate": 4.99998647112497e-05,
|
| 331 |
+
"loss": 0.609,
|
| 332 |
+
"step": 8250
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 10.4,
|
| 336 |
+
"learning_rate": 4.999756011662697e-05,
|
| 337 |
+
"loss": 0.5261,
|
| 338 |
+
"step": 8500
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 10.71,
|
| 342 |
+
"learning_rate": 4.9992429864131085e-05,
|
| 343 |
+
"loss": 0.5329,
|
| 344 |
+
"step": 8750
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"epoch": 11.0,
|
| 348 |
+
"eval_accuracy": 0.6611570247933884,
|
| 349 |
+
"eval_f1": 0.44773949967842547,
|
| 350 |
+
"eval_loss": 1.4297670125961304,
|
| 351 |
+
"eval_precision": 0.4707209760487202,
|
| 352 |
+
"eval_recall": 0.4446715025532759,
|
| 353 |
+
"eval_runtime": 0.5769,
|
| 354 |
+
"eval_samples_per_second": 629.193,
|
| 355 |
+
"eval_steps_per_second": 79.732,
|
| 356 |
+
"step": 8987
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"epoch": 11.02,
|
| 360 |
+
"learning_rate": 4.998443333261708e-05,
|
| 361 |
+
"loss": 0.5434,
|
| 362 |
+
"step": 9000
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 11.32,
|
| 366 |
+
"learning_rate": 4.997358633418236e-05,
|
| 367 |
+
"loss": 0.4591,
|
| 368 |
+
"step": 9250
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 11.63,
|
| 372 |
+
"learning_rate": 4.9959890106357945e-05,
|
| 373 |
+
"loss": 0.5308,
|
| 374 |
+
"step": 9500
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 11.93,
|
| 378 |
+
"learning_rate": 4.9943346211742556e-05,
|
| 379 |
+
"loss": 0.5027,
|
| 380 |
+
"step": 9750
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 12.0,
|
| 384 |
+
"eval_accuracy": 0.6776859504132231,
|
| 385 |
+
"eval_f1": 0.4263136100758106,
|
| 386 |
+
"eval_loss": 1.5769587755203247,
|
| 387 |
+
"eval_precision": 0.4877654234638867,
|
| 388 |
+
"eval_recall": 0.42436502673571636,
|
| 389 |
+
"eval_runtime": 0.5768,
|
| 390 |
+
"eval_samples_per_second": 629.365,
|
| 391 |
+
"eval_steps_per_second": 79.754,
|
| 392 |
+
"step": 9804
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"epoch": 12.24,
|
| 396 |
+
"learning_rate": 4.9923956537824456e-05,
|
| 397 |
+
"loss": 0.4841,
|
| 398 |
+
"step": 10000
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"epoch": 12.55,
|
| 402 |
+
"learning_rate": 4.990172329676604e-05,
|
| 403 |
+
"loss": 0.4372,
|
| 404 |
+
"step": 10250
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 12.85,
|
| 408 |
+
"learning_rate": 4.987664902515149e-05,
|
| 409 |
+
"loss": 0.4622,
|
| 410 |
+
"step": 10500
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 13.0,
|
| 414 |
+
"eval_accuracy": 0.7052341597796143,
|
| 415 |
+
"eval_f1": 0.4098788238632856,
|
| 416 |
+
"eval_loss": 1.5736510753631592,
|
| 417 |
+
"eval_precision": 0.4891951861291893,
|
| 418 |
+
"eval_recall": 0.38998470741081576,
|
| 419 |
+
"eval_runtime": 0.5769,
|
| 420 |
+
"eval_samples_per_second": 629.25,
|
| 421 |
+
"eval_steps_per_second": 79.74,
|
| 422 |
+
"step": 10621
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 13.16,
|
| 426 |
+
"learning_rate": 4.984873658369735e-05,
|
| 427 |
+
"loss": 0.4393,
|
| 428 |
+
"step": 10750
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 13.46,
|
| 432 |
+
"learning_rate": 4.981798915692615e-05,
|
| 433 |
+
"loss": 0.4071,
|
| 434 |
+
"step": 11000
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"epoch": 13.77,
|
| 438 |
+
"learning_rate": 4.978441025280311e-05,
|
| 439 |
+
"loss": 0.4388,
|
| 440 |
+
"step": 11250
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 14.0,
|
| 444 |
+
"eval_accuracy": 0.6942148760330579,
|
| 445 |
+
"eval_f1": 0.4961367511874214,
|
| 446 |
+
"eval_loss": 1.7623515129089355,
|
| 447 |
+
"eval_precision": 0.5284679001386023,
|
| 448 |
+
"eval_recall": 0.4817265964741334,
|
| 449 |
+
"eval_runtime": 0.5819,
|
| 450 |
+
"eval_samples_per_second": 623.821,
|
| 451 |
+
"eval_steps_per_second": 79.052,
|
| 452 |
+
"step": 11438
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 14.08,
|
| 456 |
+
"learning_rate": 4.9748003702335874e-05,
|
| 457 |
+
"loss": 0.361,
|
| 458 |
+
"step": 11500
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 14.38,
|
| 462 |
+
"learning_rate": 4.970893619788296e-05,
|
| 463 |
+
"loss": 0.3574,
|
| 464 |
+
"step": 11750
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 14.69,
|
| 468 |
+
"learning_rate": 4.966689840442375e-05,
|
| 469 |
+
"loss": 0.3927,
|
| 470 |
+
"step": 12000
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 14.99,
|
| 474 |
+
"learning_rate": 4.9622046371513854e-05,
|
| 475 |
+
"loss": 0.3973,
|
| 476 |
+
"step": 12250
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 15.0,
|
| 480 |
+
"eval_accuracy": 0.650137741046832,
|
| 481 |
+
"eval_f1": 0.45953933518622214,
|
| 482 |
+
"eval_loss": 1.8296639919281006,
|
| 483 |
+
"eval_precision": 0.547006976703725,
|
| 484 |
+
"eval_recall": 0.4533570015097109,
|
| 485 |
+
"eval_runtime": 0.5782,
|
| 486 |
+
"eval_samples_per_second": 627.762,
|
| 487 |
+
"eval_steps_per_second": 79.551,
|
| 488 |
+
"step": 12255
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 15.3,
|
| 492 |
+
"learning_rate": 4.957438521630898e-05,
|
| 493 |
+
"loss": 0.3236,
|
| 494 |
+
"step": 12500
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 15.61,
|
| 498 |
+
"learning_rate": 4.952392037645683e-05,
|
| 499 |
+
"loss": 0.3474,
|
| 500 |
+
"step": 12750
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 15.91,
|
| 504 |
+
"learning_rate": 4.94706576094767e-05,
|
| 505 |
+
"loss": 0.3578,
|
| 506 |
+
"step": 13000
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 16.0,
|
| 510 |
+
"eval_accuracy": 0.7079889807162535,
|
| 511 |
+
"eval_f1": 0.49300722979484873,
|
| 512 |
+
"eval_loss": 1.4506721496582031,
|
| 513 |
+
"eval_precision": 0.5450297500169623,
|
| 514 |
+
"eval_recall": 0.4661049985865257,
|
| 515 |
+
"eval_runtime": 0.5767,
|
| 516 |
+
"eval_samples_per_second": 629.403,
|
| 517 |
+
"eval_steps_per_second": 79.759,
|
| 518 |
+
"step": 13072
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 16.22,
|
| 522 |
+
"learning_rate": 4.9414602992102564e-05,
|
| 523 |
+
"loss": 0.3665,
|
| 524 |
+
"step": 13250
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 16.52,
|
| 528 |
+
"learning_rate": 4.9355762919589846e-05,
|
| 529 |
+
"loss": 0.3197,
|
| 530 |
+
"step": 13500
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"epoch": 16.83,
|
| 534 |
+
"learning_rate": 4.929414410498574e-05,
|
| 535 |
+
"loss": 0.3632,
|
| 536 |
+
"step": 13750
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 17.0,
|
| 540 |
+
"eval_accuracy": 0.6336088154269972,
|
| 541 |
+
"eval_f1": 0.44717986010161176,
|
| 542 |
+
"eval_loss": 1.922100305557251,
|
| 543 |
+
"eval_precision": 0.45028944394750214,
|
| 544 |
+
"eval_recall": 0.46335067846767364,
|
| 545 |
+
"eval_runtime": 0.5779,
|
| 546 |
+
"eval_samples_per_second": 628.173,
|
| 547 |
+
"eval_steps_per_second": 79.603,
|
| 548 |
+
"step": 13889
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 17.14,
|
| 552 |
+
"learning_rate": 4.922975357836337e-05,
|
| 553 |
+
"loss": 0.3885,
|
| 554 |
+
"step": 14000
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"epoch": 17.44,
|
| 558 |
+
"learning_rate": 4.916259868601966e-05,
|
| 559 |
+
"loss": 0.3569,
|
| 560 |
+
"step": 14250
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 17.75,
|
| 564 |
+
"learning_rate": 4.909268708963725e-05,
|
| 565 |
+
"loss": 0.3409,
|
| 566 |
+
"step": 14500
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 18.0,
|
| 570 |
+
"eval_accuracy": 0.6859504132231405,
|
| 571 |
+
"eval_f1": 0.50463296007239,
|
| 572 |
+
"eval_loss": 1.6839758157730103,
|
| 573 |
+
"eval_precision": 0.532328893998914,
|
| 574 |
+
"eval_recall": 0.4880845242606326,
|
| 575 |
+
"eval_runtime": 0.5777,
|
| 576 |
+
"eval_samples_per_second": 628.346,
|
| 577 |
+
"eval_steps_per_second": 79.625,
|
| 578 |
+
"step": 14706
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 18.05,
|
| 582 |
+
"learning_rate": 4.902002676541038e-05,
|
| 583 |
+
"loss": 0.3504,
|
| 584 |
+
"step": 14750
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 18.36,
|
| 588 |
+
"learning_rate": 4.894462600313483e-05,
|
| 589 |
+
"loss": 0.3144,
|
| 590 |
+
"step": 15000
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 18.67,
|
| 594 |
+
"learning_rate": 4.8866493405262234e-05,
|
| 595 |
+
"loss": 0.3445,
|
| 596 |
+
"step": 15250
|
| 597 |
+
},
|
| 598 |
+
{
|
| 599 |
+
"epoch": 18.97,
|
| 600 |
+
"learning_rate": 4.878563788591853e-05,
|
| 601 |
+
"loss": 0.2723,
|
| 602 |
+
"step": 15500
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"epoch": 19.0,
|
| 606 |
+
"eval_accuracy": 0.696969696969697,
|
| 607 |
+
"eval_f1": 0.5104610371804872,
|
| 608 |
+
"eval_loss": 1.8228646516799927,
|
| 609 |
+
"eval_precision": 0.5547209922405293,
|
| 610 |
+
"eval_recall": 0.49795298092711887,
|
| 611 |
+
"eval_runtime": 0.5785,
|
| 612 |
+
"eval_samples_per_second": 627.463,
|
| 613 |
+
"eval_steps_per_second": 79.513,
|
| 614 |
+
"step": 15523
|
| 615 |
+
},
|
| 616 |
+
{
|
| 617 |
+
"epoch": 19.28,
|
| 618 |
+
"learning_rate": 4.8702068669887026e-05,
|
| 619 |
+
"loss": 0.2524,
|
| 620 |
+
"step": 15750
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 19.58,
|
| 624 |
+
"learning_rate": 4.8615795291555885e-05,
|
| 625 |
+
"loss": 0.2412,
|
| 626 |
+
"step": 16000
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 19.89,
|
| 630 |
+
"learning_rate": 4.852682759383042e-05,
|
| 631 |
+
"loss": 0.3177,
|
| 632 |
+
"step": 16250
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 20.0,
|
| 636 |
+
"eval_accuracy": 0.6914600550964187,
|
| 637 |
+
"eval_f1": 0.4887299967298263,
|
| 638 |
+
"eval_loss": 1.9973198175430298,
|
| 639 |
+
"eval_precision": 0.6312488850962071,
|
| 640 |
+
"eval_recall": 0.4400535390991056,
|
| 641 |
+
"eval_runtime": 0.5767,
|
| 642 |
+
"eval_samples_per_second": 629.418,
|
| 643 |
+
"eval_steps_per_second": 79.761,
|
| 644 |
+
"step": 16340
|
| 645 |
+
},
|
| 646 |
+
{
|
| 647 |
+
"epoch": 20.2,
|
| 648 |
+
"learning_rate": 4.84355476675853e-05,
|
| 649 |
+
"loss": 0.2544,
|
| 650 |
+
"step": 16500
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"epoch": 20.5,
|
| 654 |
+
"learning_rate": 4.8341232761821675e-05,
|
| 655 |
+
"loss": 0.2752,
|
| 656 |
+
"step": 16750
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"epoch": 20.81,
|
| 660 |
+
"learning_rate": 4.824425486142494e-05,
|
| 661 |
+
"loss": 0.3368,
|
| 662 |
+
"step": 17000
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 21.0,
|
| 666 |
+
"eval_accuracy": 0.6831955922865014,
|
| 667 |
+
"eval_f1": 0.45711959899817944,
|
| 668 |
+
"eval_loss": 1.6511964797973633,
|
| 669 |
+
"eval_precision": 0.5667705375640166,
|
| 670 |
+
"eval_recall": 0.4405123543670341,
|
| 671 |
+
"eval_runtime": 0.5771,
|
| 672 |
+
"eval_samples_per_second": 629.043,
|
| 673 |
+
"eval_steps_per_second": 79.713,
|
| 674 |
+
"step": 17157
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 21.11,
|
| 678 |
+
"learning_rate": 4.81446250305763e-05,
|
| 679 |
+
"loss": 0.2763,
|
| 680 |
+
"step": 17250
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"epoch": 21.42,
|
| 684 |
+
"learning_rate": 4.804235463601491e-05,
|
| 685 |
+
"loss": 0.2232,
|
| 686 |
+
"step": 17500
|
| 687 |
+
},
|
| 688 |
+
{
|
| 689 |
+
"epoch": 21.73,
|
| 690 |
+
"learning_rate": 4.793745534574111e-05,
|
| 691 |
+
"loss": 0.2307,
|
| 692 |
+
"step": 17750
|
| 693 |
+
},
|
| 694 |
+
{
|
| 695 |
+
"epoch": 22.0,
|
| 696 |
+
"eval_accuracy": 0.696969696969697,
|
| 697 |
+
"eval_f1": 0.4706521650995364,
|
| 698 |
+
"eval_loss": 1.9451159238815308,
|
| 699 |
+
"eval_precision": 0.6334310394975756,
|
| 700 |
+
"eval_recall": 0.4397407703134304,
|
| 701 |
+
"eval_runtime": 0.5762,
|
| 702 |
+
"eval_samples_per_second": 630.015,
|
| 703 |
+
"eval_steps_per_second": 79.837,
|
| 704 |
+
"step": 17974
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 22.03,
|
| 708 |
+
"learning_rate": 4.782993912768523e-05,
|
| 709 |
+
"loss": 0.2376,
|
| 710 |
+
"step": 18000
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 22.34,
|
| 714 |
+
"learning_rate": 4.7719818248342104e-05,
|
| 715 |
+
"loss": 0.2096,
|
| 716 |
+
"step": 18250
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 22.64,
|
| 720 |
+
"learning_rate": 4.760756126979301e-05,
|
| 721 |
+
"loss": 0.225,
|
| 722 |
+
"step": 18500
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 22.95,
|
| 726 |
+
"learning_rate": 4.7492279345533425e-05,
|
| 727 |
+
"loss": 0.259,
|
| 728 |
+
"step": 18750
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 23.0,
|
| 732 |
+
"eval_accuracy": 0.6887052341597796,
|
| 733 |
+
"eval_f1": 0.4849675763556479,
|
| 734 |
+
"eval_loss": 2.131509304046631,
|
| 735 |
+
"eval_precision": 0.6931105898377018,
|
| 736 |
+
"eval_recall": 0.424335591884853,
|
| 737 |
+
"eval_runtime": 0.5766,
|
| 738 |
+
"eval_samples_per_second": 629.576,
|
| 739 |
+
"eval_steps_per_second": 79.781,
|
| 740 |
+
"step": 18791
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 23.26,
|
| 744 |
+
"learning_rate": 4.737443128349549e-05,
|
| 745 |
+
"loss": 0.2214,
|
| 746 |
+
"step": 19000
|
| 747 |
+
},
|
| 748 |
+
{
|
| 749 |
+
"epoch": 23.56,
|
| 750 |
+
"learning_rate": 4.7254030528931215e-05,
|
| 751 |
+
"loss": 0.2338,
|
| 752 |
+
"step": 19250
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 23.87,
|
| 756 |
+
"learning_rate": 4.7131090818328586e-05,
|
| 757 |
+
"loss": 0.2387,
|
| 758 |
+
"step": 19500
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 24.0,
|
| 762 |
+
"eval_accuracy": 0.7024793388429752,
|
| 763 |
+
"eval_f1": 0.5396161727004175,
|
| 764 |
+
"eval_loss": 1.6646941900253296,
|
| 765 |
+
"eval_precision": 0.5457638718508284,
|
| 766 |
+
"eval_recall": 0.5445803409781244,
|
| 767 |
+
"eval_runtime": 0.577,
|
| 768 |
+
"eval_samples_per_second": 629.121,
|
| 769 |
+
"eval_steps_per_second": 79.723,
|
| 770 |
+
"step": 19608
|
| 771 |
+
},
|
| 772 |
+
{
|
| 773 |
+
"epoch": 24.17,
|
| 774 |
+
"learning_rate": 4.700562617784434e-05,
|
| 775 |
+
"loss": 0.2034,
|
| 776 |
+
"step": 19750
|
| 777 |
+
},
|
| 778 |
+
{
|
| 779 |
+
"epoch": 24.48,
|
| 780 |
+
"learning_rate": 4.687765092170378e-05,
|
| 781 |
+
"loss": 0.1752,
|
| 782 |
+
"step": 20000
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 24.79,
|
| 786 |
+
"learning_rate": 4.6747179650567614e-05,
|
| 787 |
+
"loss": 0.2089,
|
| 788 |
+
"step": 20250
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 25.0,
|
| 792 |
+
"eval_accuracy": 0.6721763085399449,
|
| 793 |
+
"eval_f1": 0.4391025799309439,
|
| 794 |
+
"eval_loss": 2.24601674079895,
|
| 795 |
+
"eval_precision": 0.4972889051140895,
|
| 796 |
+
"eval_recall": 0.428331664230679,
|
| 797 |
+
"eval_runtime": 0.5771,
|
| 798 |
+
"eval_samples_per_second": 629.0,
|
| 799 |
+
"eval_steps_per_second": 79.708,
|
| 800 |
+
"step": 20425
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 25.09,
|
| 804 |
+
"learning_rate": 4.661422724986621e-05,
|
| 805 |
+
"loss": 0.2451,
|
| 806 |
+
"step": 20500
|
| 807 |
+
},
|
| 808 |
+
{
|
| 809 |
+
"epoch": 25.4,
|
| 810 |
+
"learning_rate": 4.647880888810129e-05,
|
| 811 |
+
"loss": 0.1822,
|
| 812 |
+
"step": 20750
|
| 813 |
+
},
|
| 814 |
+
{
|
| 815 |
+
"epoch": 25.7,
|
| 816 |
+
"learning_rate": 4.634094001511539e-05,
|
| 817 |
+
"loss": 0.2117,
|
| 818 |
+
"step": 21000
|
| 819 |
+
},
|
| 820 |
+
{
|
| 821 |
+
"epoch": 26.0,
|
| 822 |
+
"eval_accuracy": 0.6721763085399449,
|
| 823 |
+
"eval_f1": 0.5210259674763756,
|
| 824 |
+
"eval_loss": 2.145235300064087,
|
| 825 |
+
"eval_precision": 0.5857309337602864,
|
| 826 |
+
"eval_recall": 0.48917402725900266,
|
| 827 |
+
"eval_runtime": 0.5764,
|
| 828 |
+
"eval_samples_per_second": 629.763,
|
| 829 |
+
"eval_steps_per_second": 79.805,
|
| 830 |
+
"step": 21242
|
| 831 |
+
},
|
| 832 |
+
{
|
| 833 |
+
"epoch": 26.01,
|
| 834 |
+
"learning_rate": 4.620063636032916e-05,
|
| 835 |
+
"loss": 0.2111,
|
| 836 |
+
"step": 21250
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 26.32,
|
| 840 |
+
"learning_rate": 4.605791393094685e-05,
|
| 841 |
+
"loss": 0.1778,
|
| 842 |
+
"step": 21500
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 26.62,
|
| 846 |
+
"learning_rate": 4.591278901012997e-05,
|
| 847 |
+
"loss": 0.2428,
|
| 848 |
+
"step": 21750
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"epoch": 26.93,
|
| 852 |
+
"learning_rate": 4.576587292912579e-05,
|
| 853 |
+
"loss": 0.2081,
|
| 854 |
+
"step": 22000
|
| 855 |
+
},
|
| 856 |
+
{
|
| 857 |
+
"epoch": 27.0,
|
| 858 |
+
"eval_accuracy": 0.6749311294765841,
|
| 859 |
+
"eval_f1": 0.43598115798812087,
|
| 860 |
+
"eval_loss": 2.0688838958740234,
|
| 861 |
+
"eval_precision": 0.470814340268371,
|
| 862 |
+
"eval_recall": 0.4225478100170218,
|
| 863 |
+
"eval_runtime": 0.5781,
|
| 864 |
+
"eval_samples_per_second": 627.962,
|
| 865 |
+
"eval_steps_per_second": 79.576,
|
| 866 |
+
"step": 22059
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 27.23,
|
| 870 |
+
"learning_rate": 4.561600241196927e-05,
|
| 871 |
+
"loss": 0.1615,
|
| 872 |
+
"step": 22250
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 27.54,
|
| 876 |
+
"learning_rate": 4.546377982093819e-05,
|
| 877 |
+
"loss": 0.2104,
|
| 878 |
+
"step": 22500
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 27.85,
|
| 882 |
+
"learning_rate": 4.530922252306483e-05,
|
| 883 |
+
"loss": 0.1858,
|
| 884 |
+
"step": 22750
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 28.0,
|
| 888 |
+
"eval_accuracy": 0.6584022038567493,
|
| 889 |
+
"eval_f1": 0.44101738523719697,
|
| 890 |
+
"eval_loss": 2.2427115440368652,
|
| 891 |
+
"eval_precision": 0.5339727994900408,
|
| 892 |
+
"eval_recall": 0.41865492881502736,
|
| 893 |
+
"eval_runtime": 0.5762,
|
| 894 |
+
"eval_samples_per_second": 630.011,
|
| 895 |
+
"eval_steps_per_second": 79.836,
|
| 896 |
+
"step": 22876
|
| 897 |
+
},
|
| 898 |
+
{
|
| 899 |
+
"epoch": 28.15,
|
| 900 |
+
"learning_rate": 4.5152348151747534e-05,
|
| 901 |
+
"loss": 0.1984,
|
| 902 |
+
"step": 23000
|
| 903 |
+
},
|
| 904 |
+
{
|
| 905 |
+
"epoch": 28.46,
|
| 906 |
+
"learning_rate": 4.499317460473887e-05,
|
| 907 |
+
"loss": 0.2388,
|
| 908 |
+
"step": 23250
|
| 909 |
+
},
|
| 910 |
+
{
|
| 911 |
+
"epoch": 28.76,
|
| 912 |
+
"learning_rate": 4.483172004210372e-05,
|
| 913 |
+
"loss": 0.1924,
|
| 914 |
+
"step": 23500
|
| 915 |
+
},
|
| 916 |
+
{
|
| 917 |
+
"epoch": 29.0,
|
| 918 |
+
"eval_accuracy": 0.6831955922865014,
|
| 919 |
+
"eval_f1": 0.4384895896523804,
|
| 920 |
+
"eval_loss": 2.0502805709838867,
|
| 921 |
+
"eval_precision": 0.6932407169452727,
|
| 922 |
+
"eval_recall": 0.39043344791497503,
|
| 923 |
+
"eval_runtime": 0.5764,
|
| 924 |
+
"eval_samples_per_second": 629.797,
|
| 925 |
+
"eval_steps_per_second": 79.809,
|
| 926 |
+
"step": 23693
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 29.07,
|
| 930 |
+
"learning_rate": 4.46680028841474e-05,
|
| 931 |
+
"loss": 0.1952,
|
| 932 |
+
"step": 23750
|
| 933 |
+
},
|
| 934 |
+
{
|
| 935 |
+
"epoch": 29.38,
|
| 936 |
+
"learning_rate": 4.450204180931408e-05,
|
| 937 |
+
"loss": 0.1551,
|
| 938 |
+
"step": 24000
|
| 939 |
+
},
|
| 940 |
+
{
|
| 941 |
+
"epoch": 29.68,
|
| 942 |
+
"learning_rate": 4.433453290310271e-05,
|
| 943 |
+
"loss": 0.1758,
|
| 944 |
+
"step": 24250
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"epoch": 29.99,
|
| 948 |
+
"learning_rate": 4.4164835737020996e-05,
|
| 949 |
+
"loss": 0.151,
|
| 950 |
+
"step": 24500
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 30.0,
|
| 954 |
+
"eval_accuracy": 0.6804407713498623,
|
| 955 |
+
"eval_f1": 0.4790753635178762,
|
| 956 |
+
"eval_loss": 2.1431803703308105,
|
| 957 |
+
"eval_precision": 0.5843463803065593,
|
| 958 |
+
"eval_recall": 0.43816301719626843,
|
| 959 |
+
"eval_runtime": 0.5767,
|
| 960 |
+
"eval_samples_per_second": 629.492,
|
| 961 |
+
"eval_steps_per_second": 79.77,
|
| 962 |
+
"step": 24510
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 30.29,
|
| 966 |
+
"learning_rate": 4.399227494450688e-05,
|
| 967 |
+
"loss": 0.1475,
|
| 968 |
+
"step": 24750
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 30.6,
|
| 972 |
+
"learning_rate": 4.381754732872496e-05,
|
| 973 |
+
"loss": 0.1696,
|
| 974 |
+
"step": 25000
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"epoch": 30.91,
|
| 978 |
+
"learning_rate": 4.3640672824299424e-05,
|
| 979 |
+
"loss": 0.1978,
|
| 980 |
+
"step": 25250
|
| 981 |
+
},
|
| 982 |
+
{
|
| 983 |
+
"epoch": 31.0,
|
| 984 |
+
"eval_accuracy": 0.6859504132231405,
|
| 985 |
+
"eval_f1": 0.42594599441215986,
|
| 986 |
+
"eval_loss": 2.2966179847717285,
|
| 987 |
+
"eval_precision": 0.5307515065579581,
|
| 988 |
+
"eval_recall": 0.41329913928436096,
|
| 989 |
+
"eval_runtime": 0.5775,
|
| 990 |
+
"eval_samples_per_second": 628.614,
|
| 991 |
+
"eval_steps_per_second": 79.659,
|
| 992 |
+
"step": 25327
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 31.21,
|
| 996 |
+
"learning_rate": 4.346167161079236e-05,
|
| 997 |
+
"loss": 0.167,
|
| 998 |
+
"step": 25500
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"epoch": 31.52,
|
| 1002 |
+
"learning_rate": 4.328056411040151e-05,
|
| 1003 |
+
"loss": 0.1383,
|
| 1004 |
+
"step": 25750
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 31.82,
|
| 1008 |
+
"learning_rate": 4.309737098563029e-05,
|
| 1009 |
+
"loss": 0.1922,
|
| 1010 |
+
"step": 26000
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 32.0,
|
| 1014 |
+
"eval_accuracy": 0.6831955922865014,
|
| 1015 |
+
"eval_f1": 0.485788264860417,
|
| 1016 |
+
"eval_loss": 2.0524113178253174,
|
| 1017 |
+
"eval_precision": 0.5313209433300384,
|
| 1018 |
+
"eval_recall": 0.4710779846863592,
|
| 1019 |
+
"eval_runtime": 0.577,
|
| 1020 |
+
"eval_samples_per_second": 629.091,
|
| 1021 |
+
"eval_steps_per_second": 79.719,
|
| 1022 |
+
"step": 26144
|
| 1023 |
+
},
|
| 1024 |
+
{
|
| 1025 |
+
"epoch": 32.13,
|
| 1026 |
+
"learning_rate": 4.29121131369304e-05,
|
| 1027 |
+
"loss": 0.199,
|
| 1028 |
+
"step": 26250
|
| 1029 |
+
},
|
| 1030 |
+
{
|
| 1031 |
+
"epoch": 32.44,
|
| 1032 |
+
"learning_rate": 4.272481170031731e-05,
|
| 1033 |
+
"loss": 0.1964,
|
| 1034 |
+
"step": 26500
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 32.74,
|
| 1038 |
+
"learning_rate": 4.253548804495887e-05,
|
| 1039 |
+
"loss": 0.1876,
|
| 1040 |
+
"step": 26750
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"epoch": 33.0,
|
| 1044 |
+
"eval_accuracy": 0.6859504132231405,
|
| 1045 |
+
"eval_f1": 0.45277059579119083,
|
| 1046 |
+
"eval_loss": 2.3500843048095703,
|
| 1047 |
+
"eval_precision": 0.6191480424964332,
|
| 1048 |
+
"eval_recall": 0.4147965198457809,
|
| 1049 |
+
"eval_runtime": 0.5777,
|
| 1050 |
+
"eval_samples_per_second": 628.4,
|
| 1051 |
+
"eval_steps_per_second": 79.632,
|
| 1052 |
+
"step": 26961
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 33.05,
|
| 1056 |
+
"learning_rate": 4.234416377073727e-05,
|
| 1057 |
+
"loss": 0.1475,
|
| 1058 |
+
"step": 27000
|
| 1059 |
+
},
|
| 1060 |
+
{
|
| 1061 |
+
"epoch": 33.35,
|
| 1062 |
+
"learning_rate": 4.215086070578477e-05,
|
| 1063 |
+
"loss": 0.143,
|
| 1064 |
+
"step": 27250
|
| 1065 |
+
},
|
| 1066 |
+
{
|
| 1067 |
+
"epoch": 33.66,
|
| 1068 |
+
"learning_rate": 4.195560090399327e-05,
|
| 1069 |
+
"loss": 0.2021,
|
| 1070 |
+
"step": 27500
|
| 1071 |
+
},
|
| 1072 |
+
{
|
| 1073 |
+
"epoch": 33.97,
|
| 1074 |
+
"learning_rate": 4.175840664249825e-05,
|
| 1075 |
+
"loss": 0.1649,
|
| 1076 |
+
"step": 27750
|
| 1077 |
+
},
|
| 1078 |
+
{
|
| 1079 |
+
"epoch": 34.0,
|
| 1080 |
+
"eval_accuracy": 0.6584022038567493,
|
| 1081 |
+
"eval_f1": 0.4327576346908582,
|
| 1082 |
+
"eval_loss": 2.3630762100219727,
|
| 1083 |
+
"eval_precision": 0.46295462482075056,
|
| 1084 |
+
"eval_recall": 0.4282663662281889,
|
| 1085 |
+
"eval_runtime": 0.5765,
|
| 1086 |
+
"eval_samples_per_second": 629.661,
|
| 1087 |
+
"eval_steps_per_second": 79.792,
|
| 1088 |
+
"step": 27778
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 34.27,
|
| 1092 |
+
"learning_rate": 4.1559300419137124e-05,
|
| 1093 |
+
"loss": 0.1333,
|
| 1094 |
+
"step": 28000
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 34.58,
|
| 1098 |
+
"learning_rate": 4.135830494988252e-05,
|
| 1099 |
+
"loss": 0.1386,
|
| 1100 |
+
"step": 28250
|
| 1101 |
+
},
|
| 1102 |
+
{
|
| 1103 |
+
"epoch": 34.88,
|
| 1104 |
+
"learning_rate": 4.1155443166250585e-05,
|
| 1105 |
+
"loss": 0.2109,
|
| 1106 |
+
"step": 28500
|
| 1107 |
+
},
|
| 1108 |
+
{
|
| 1109 |
+
"epoch": 35.0,
|
| 1110 |
+
"eval_accuracy": 0.6749311294765841,
|
| 1111 |
+
"eval_f1": 0.4902477696595343,
|
| 1112 |
+
"eval_loss": 2.1397335529327393,
|
| 1113 |
+
"eval_precision": 0.5198444762520393,
|
| 1114 |
+
"eval_recall": 0.49638105463228616,
|
| 1115 |
+
"eval_runtime": 0.578,
|
| 1116 |
+
"eval_samples_per_second": 628.013,
|
| 1117 |
+
"eval_steps_per_second": 79.583,
|
| 1118 |
+
"step": 28595
|
| 1119 |
+
},
|
| 1120 |
+
{
|
| 1121 |
+
"epoch": 35.19,
|
| 1122 |
+
"learning_rate": 4.095073821268473e-05,
|
| 1123 |
+
"loss": 0.1839,
|
| 1124 |
+
"step": 28750
|
| 1125 |
+
},
|
| 1126 |
+
{
|
| 1127 |
+
"epoch": 35.5,
|
| 1128 |
+
"learning_rate": 4.0744213443915125e-05,
|
| 1129 |
+
"loss": 0.1558,
|
| 1130 |
+
"step": 29000
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 35.8,
|
| 1134 |
+
"learning_rate": 4.0536729253084094e-05,
|
| 1135 |
+
"loss": 0.127,
|
| 1136 |
+
"step": 29250
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 36.0,
|
| 1140 |
+
"eval_accuracy": 0.6694214876033058,
|
| 1141 |
+
"eval_f1": 0.4276520300779697,
|
| 1142 |
+
"eval_loss": 2.290356159210205,
|
| 1143 |
+
"eval_precision": 0.5064721567763604,
|
| 1144 |
+
"eval_recall": 0.40090887150616217,
|
| 1145 |
+
"eval_runtime": 0.5778,
|
| 1146 |
+
"eval_samples_per_second": 628.209,
|
| 1147 |
+
"eval_steps_per_second": 79.608,
|
| 1148 |
+
"step": 29412
|
| 1149 |
+
},
|
| 1150 |
+
{
|
| 1151 |
+
"epoch": 36.11,
|
| 1152 |
+
"learning_rate": 4.032748663336774e-05,
|
| 1153 |
+
"loss": 0.2138,
|
| 1154 |
+
"step": 29500
|
| 1155 |
+
},
|
| 1156 |
+
{
|
| 1157 |
+
"epoch": 36.41,
|
| 1158 |
+
"learning_rate": 4.011565850261534e-05,
|
| 1159 |
+
"loss": 0.1587,
|
| 1160 |
+
"step": 29750
|
| 1161 |
+
},
|
| 1162 |
+
{
|
| 1163 |
+
"epoch": 36.72,
|
| 1164 |
+
"learning_rate": 3.990210583066674e-05,
|
| 1165 |
+
"loss": 0.1653,
|
| 1166 |
+
"step": 30000
|
| 1167 |
+
},
|
| 1168 |
+
{
|
| 1169 |
+
"epoch": 37.0,
|
| 1170 |
+
"eval_accuracy": 0.6831955922865014,
|
| 1171 |
+
"eval_f1": 0.5118761031802896,
|
| 1172 |
+
"eval_loss": 2.097479820251465,
|
| 1173 |
+
"eval_precision": 0.558650914911419,
|
| 1174 |
+
"eval_recall": 0.4861388167114768,
|
| 1175 |
+
"eval_runtime": 0.5771,
|
| 1176 |
+
"eval_samples_per_second": 629.03,
|
| 1177 |
+
"eval_steps_per_second": 79.712,
|
| 1178 |
+
"step": 30229
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 37.03,
|
| 1182 |
+
"learning_rate": 3.968685298168575e-05,
|
| 1183 |
+
"loss": 0.1729,
|
| 1184 |
+
"step": 30250
|
| 1185 |
+
},
|
| 1186 |
+
{
|
| 1187 |
+
"epoch": 37.33,
|
| 1188 |
+
"learning_rate": 3.946992451380895e-05,
|
| 1189 |
+
"loss": 0.1092,
|
| 1190 |
+
"step": 30500
|
| 1191 |
+
},
|
| 1192 |
+
{
|
| 1193 |
+
"epoch": 37.64,
|
| 1194 |
+
"learning_rate": 3.9251345176343774e-05,
|
| 1195 |
+
"loss": 0.1322,
|
| 1196 |
+
"step": 30750
|
| 1197 |
+
},
|
| 1198 |
+
{
|
| 1199 |
+
"epoch": 37.94,
|
| 1200 |
+
"learning_rate": 3.9031139906944916e-05,
|
| 1201 |
+
"loss": 0.1626,
|
| 1202 |
+
"step": 31000
|
| 1203 |
+
},
|
| 1204 |
+
{
|
| 1205 |
+
"epoch": 38.0,
|
| 1206 |
+
"eval_accuracy": 0.6666666666666666,
|
| 1207 |
+
"eval_f1": 0.4688775335224489,
|
| 1208 |
+
"eval_loss": 2.4606480598449707,
|
| 1209 |
+
"eval_precision": 0.4988188909516061,
|
| 1210 |
+
"eval_recall": 0.45583700987026105,
|
| 1211 |
+
"eval_runtime": 0.5758,
|
| 1212 |
+
"eval_samples_per_second": 630.398,
|
| 1213 |
+
"eval_steps_per_second": 79.885,
|
| 1214 |
+
"step": 31046
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 38.25,
|
| 1218 |
+
"learning_rate": 3.880933382876915e-05,
|
| 1219 |
+
"loss": 0.1369,
|
| 1220 |
+
"step": 31250
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 38.56,
|
| 1224 |
+
"learning_rate": 3.8585952247609145e-05,
|
| 1225 |
+
"loss": 0.1002,
|
| 1226 |
+
"step": 31500
|
| 1227 |
+
},
|
| 1228 |
+
{
|
| 1229 |
+
"epoch": 38.86,
|
| 1230 |
+
"learning_rate": 3.836102064900617e-05,
|
| 1231 |
+
"loss": 0.1454,
|
| 1232 |
+
"step": 31750
|
| 1233 |
+
},
|
| 1234 |
+
{
|
| 1235 |
+
"epoch": 39.0,
|
| 1236 |
+
"eval_accuracy": 0.6914600550964187,
|
| 1237 |
+
"eval_f1": 0.5079144154287897,
|
| 1238 |
+
"eval_loss": 2.172344446182251,
|
| 1239 |
+
"eval_precision": 0.5805565750272889,
|
| 1240 |
+
"eval_recall": 0.4738757992144692,
|
| 1241 |
+
"eval_runtime": 0.5781,
|
| 1242 |
+
"eval_samples_per_second": 627.915,
|
| 1243 |
+
"eval_steps_per_second": 79.571,
|
| 1244 |
+
"step": 31863
|
| 1245 |
+
},
|
| 1246 |
+
{
|
| 1247 |
+
"epoch": 39.17,
|
| 1248 |
+
"learning_rate": 3.8134564695342595e-05,
|
| 1249 |
+
"loss": 0.158,
|
| 1250 |
+
"step": 32000
|
| 1251 |
+
},
|
| 1252 |
+
{
|
| 1253 |
+
"epoch": 39.47,
|
| 1254 |
+
"learning_rate": 3.790661022291403e-05,
|
| 1255 |
+
"loss": 0.1078,
|
| 1256 |
+
"step": 32250
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 39.78,
|
| 1260 |
+
"learning_rate": 3.767718323898163e-05,
|
| 1261 |
+
"loss": 0.1206,
|
| 1262 |
+
"step": 32500
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 40.0,
|
| 1266 |
+
"eval_accuracy": 0.6942148760330579,
|
| 1267 |
+
"eval_f1": 0.48536884689746623,
|
| 1268 |
+
"eval_loss": 2.1714024543762207,
|
| 1269 |
+
"eval_precision": 0.5719430108062781,
|
| 1270 |
+
"eval_recall": 0.4474171388272374,
|
| 1271 |
+
"eval_runtime": 0.5772,
|
| 1272 |
+
"eval_samples_per_second": 628.944,
|
| 1273 |
+
"eval_steps_per_second": 79.701,
|
| 1274 |
+
"step": 32680
|
| 1275 |
+
},
|
| 1276 |
+
{
|
| 1277 |
+
"epoch": 40.09,
|
| 1278 |
+
"learning_rate": 3.744630991880502e-05,
|
| 1279 |
+
"loss": 0.1158,
|
| 1280 |
+
"step": 32750
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 40.39,
|
| 1284 |
+
"learning_rate": 3.7214016602655875e-05,
|
| 1285 |
+
"loss": 0.115,
|
| 1286 |
+
"step": 33000
|
| 1287 |
+
},
|
| 1288 |
+
{
|
| 1289 |
+
"epoch": 40.7,
|
| 1290 |
+
"learning_rate": 3.698032979281283e-05,
|
| 1291 |
+
"loss": 0.1092,
|
| 1292 |
+
"step": 33250
|
| 1293 |
+
},
|
| 1294 |
+
{
|
| 1295 |
+
"epoch": 41.0,
|
| 1296 |
+
"eval_accuracy": 0.6914600550964187,
|
| 1297 |
+
"eval_f1": 0.4980899463610581,
|
| 1298 |
+
"eval_loss": 2.2357773780822754,
|
| 1299 |
+
"eval_precision": 0.5844052283360602,
|
| 1300 |
+
"eval_recall": 0.46764869298736295,
|
| 1301 |
+
"eval_runtime": 0.5777,
|
| 1302 |
+
"eval_samples_per_second": 628.373,
|
| 1303 |
+
"eval_steps_per_second": 79.629,
|
| 1304 |
+
"step": 33497
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 41.0,
|
| 1308 |
+
"learning_rate": 3.6745276150537816e-05,
|
| 1309 |
+
"loss": 0.1262,
|
| 1310 |
+
"step": 33500
|
| 1311 |
+
},
|
| 1312 |
+
{
|
| 1313 |
+
"epoch": 41.31,
|
| 1314 |
+
"learning_rate": 3.650983070128024e-05,
|
| 1315 |
+
"loss": 0.1034,
|
| 1316 |
+
"step": 33750
|
| 1317 |
+
},
|
| 1318 |
+
{
|
| 1319 |
+
"epoch": 41.62,
|
| 1320 |
+
"learning_rate": 3.6272129196890194e-05,
|
| 1321 |
+
"loss": 0.0885,
|
| 1322 |
+
"step": 34000
|
| 1323 |
+
},
|
| 1324 |
+
{
|
| 1325 |
+
"epoch": 41.92,
|
| 1326 |
+
"learning_rate": 3.603410013431832e-05,
|
| 1327 |
+
"loss": 0.1156,
|
| 1328 |
+
"step": 34250
|
| 1329 |
+
},
|
| 1330 |
+
{
|
| 1331 |
+
"epoch": 42.0,
|
| 1332 |
+
"eval_accuracy": 0.6584022038567493,
|
| 1333 |
+
"eval_f1": 0.4280488256791789,
|
| 1334 |
+
"eval_loss": 2.558166265487671,
|
| 1335 |
+
"eval_precision": 0.45057717568928324,
|
| 1336 |
+
"eval_recall": 0.416898799749785,
|
| 1337 |
+
"eval_runtime": 0.5768,
|
| 1338 |
+
"eval_samples_per_second": 629.389,
|
| 1339 |
+
"eval_steps_per_second": 79.757,
|
| 1340 |
+
"step": 34314
|
| 1341 |
+
},
|
| 1342 |
+
{
|
| 1343 |
+
"epoch": 42.23,
|
| 1344 |
+
"learning_rate": 3.579385880846232e-05,
|
| 1345 |
+
"loss": 0.1169,
|
| 1346 |
+
"step": 34500
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 42.53,
|
| 1350 |
+
"learning_rate": 3.5552386014312834e-05,
|
| 1351 |
+
"loss": 0.099,
|
| 1352 |
+
"step": 34750
|
| 1353 |
+
},
|
| 1354 |
+
{
|
| 1355 |
+
"epoch": 42.84,
|
| 1356 |
+
"learning_rate": 3.530970930143252e-05,
|
| 1357 |
+
"loss": 0.093,
|
| 1358 |
+
"step": 35000
|
| 1359 |
+
},
|
| 1360 |
+
{
|
| 1361 |
+
"epoch": 43.0,
|
| 1362 |
+
"eval_accuracy": 0.628099173553719,
|
| 1363 |
+
"eval_f1": 0.4313278010079715,
|
| 1364 |
+
"eval_loss": 2.627509355545044,
|
| 1365 |
+
"eval_precision": 0.5279577964214083,
|
| 1366 |
+
"eval_recall": 0.40927325616365023,
|
| 1367 |
+
"eval_runtime": 0.576,
|
| 1368 |
+
"eval_samples_per_second": 630.259,
|
| 1369 |
+
"eval_steps_per_second": 79.868,
|
| 1370 |
+
"step": 35131
|
| 1371 |
+
},
|
| 1372 |
+
{
|
| 1373 |
+
"epoch": 43.15,
|
| 1374 |
+
"learning_rate": 3.5065856356738794e-05,
|
| 1375 |
+
"loss": 0.1584,
|
| 1376 |
+
"step": 35250
|
| 1377 |
+
},
|
| 1378 |
+
{
|
| 1379 |
+
"epoch": 43.45,
|
| 1380 |
+
"learning_rate": 3.482085500134504e-05,
|
| 1381 |
+
"loss": 0.0967,
|
| 1382 |
+
"step": 35500
|
| 1383 |
+
},
|
| 1384 |
+
{
|
| 1385 |
+
"epoch": 43.76,
|
| 1386 |
+
"learning_rate": 3.4574733187386486e-05,
|
| 1387 |
+
"loss": 0.1484,
|
| 1388 |
+
"step": 35750
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 44.0,
|
| 1392 |
+
"eval_accuracy": 0.6694214876033058,
|
| 1393 |
+
"eval_f1": 0.43577912693695875,
|
| 1394 |
+
"eval_loss": 2.5017268657684326,
|
| 1395 |
+
"eval_precision": 0.5655394346579834,
|
| 1396 |
+
"eval_recall": 0.3971485787064605,
|
| 1397 |
+
"eval_runtime": 0.5768,
|
| 1398 |
+
"eval_samples_per_second": 629.305,
|
| 1399 |
+
"eval_steps_per_second": 79.747,
|
| 1400 |
+
"step": 35948
|
| 1401 |
+
},
|
| 1402 |
+
{
|
| 1403 |
+
"epoch": 44.06,
|
| 1404 |
+
"learning_rate": 3.432751899483116e-05,
|
| 1405 |
+
"loss": 0.1379,
|
| 1406 |
+
"step": 36000
|
| 1407 |
+
},
|
| 1408 |
+
{
|
| 1409 |
+
"epoch": 44.37,
|
| 1410 |
+
"learning_rate": 3.4079240628276246e-05,
|
| 1411 |
+
"loss": 0.0877,
|
| 1412 |
+
"step": 36250
|
| 1413 |
+
},
|
| 1414 |
+
{
|
| 1415 |
+
"epoch": 44.68,
|
| 1416 |
+
"learning_rate": 3.382992641373025e-05,
|
| 1417 |
+
"loss": 0.1466,
|
| 1418 |
+
"step": 36500
|
| 1419 |
+
},
|
| 1420 |
+
{
|
| 1421 |
+
"epoch": 44.98,
|
| 1422 |
+
"learning_rate": 3.357960479538127e-05,
|
| 1423 |
+
"loss": 0.1411,
|
| 1424 |
+
"step": 36750
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 45.0,
|
| 1428 |
+
"eval_accuracy": 0.6914600550964187,
|
| 1429 |
+
"eval_f1": 0.5234198940288918,
|
| 1430 |
+
"eval_loss": 2.3302204608917236,
|
| 1431 |
+
"eval_precision": 0.5942265966479041,
|
| 1432 |
+
"eval_recall": 0.5061625600726586,
|
| 1433 |
+
"eval_runtime": 0.5778,
|
| 1434 |
+
"eval_samples_per_second": 628.231,
|
| 1435 |
+
"eval_steps_per_second": 79.611,
|
| 1436 |
+
"step": 36765
|
| 1437 |
+
},
|
| 1438 |
+
{
|
| 1439 |
+
"epoch": 45.29,
|
| 1440 |
+
"learning_rate": 3.332830433235184e-05,
|
| 1441 |
+
"loss": 0.0849,
|
| 1442 |
+
"step": 37000
|
| 1443 |
+
},
|
| 1444 |
+
{
|
| 1445 |
+
"epoch": 45.59,
|
| 1446 |
+
"learning_rate": 3.307605369544058e-05,
|
| 1447 |
+
"loss": 0.126,
|
| 1448 |
+
"step": 37250
|
| 1449 |
+
},
|
| 1450 |
+
{
|
| 1451 |
+
"epoch": 45.9,
|
| 1452 |
+
"learning_rate": 3.28228816638512e-05,
|
| 1453 |
+
"loss": 0.1003,
|
| 1454 |
+
"step": 37500
|
| 1455 |
+
},
|
| 1456 |
+
{
|
| 1457 |
+
"epoch": 46.0,
|
| 1458 |
+
"eval_accuracy": 0.696969696969697,
|
| 1459 |
+
"eval_f1": 0.5745871087976351,
|
| 1460 |
+
"eval_loss": 2.3890013694763184,
|
| 1461 |
+
"eval_precision": 0.6828113242342491,
|
| 1462 |
+
"eval_recall": 0.5128949833691213,
|
| 1463 |
+
"eval_runtime": 0.577,
|
| 1464 |
+
"eval_samples_per_second": 629.101,
|
| 1465 |
+
"eval_steps_per_second": 79.721,
|
| 1466 |
+
"step": 37582
|
| 1467 |
+
},
|
| 1468 |
+
{
|
| 1469 |
+
"epoch": 46.21,
|
| 1470 |
+
"learning_rate": 3.256881712190906e-05,
|
| 1471 |
+
"loss": 0.11,
|
| 1472 |
+
"step": 37750
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 46.51,
|
| 1476 |
+
"learning_rate": 3.231388905576575e-05,
|
| 1477 |
+
"loss": 0.1225,
|
| 1478 |
+
"step": 38000
|
| 1479 |
+
},
|
| 1480 |
+
{
|
| 1481 |
+
"epoch": 46.82,
|
| 1482 |
+
"learning_rate": 3.205915122367602e-05,
|
| 1483 |
+
"loss": 0.1245,
|
| 1484 |
+
"step": 38250
|
| 1485 |
+
},
|
| 1486 |
+
{
|
| 1487 |
+
"epoch": 47.0,
|
| 1488 |
+
"eval_accuracy": 0.6804407713498623,
|
| 1489 |
+
"eval_f1": 0.5184040661055641,
|
| 1490 |
+
"eval_loss": 2.339553117752075,
|
| 1491 |
+
"eval_precision": 0.6566468598124048,
|
| 1492 |
+
"eval_recall": 0.48311657554268395,
|
| 1493 |
+
"eval_runtime": 0.5772,
|
| 1494 |
+
"eval_samples_per_second": 628.951,
|
| 1495 |
+
"eval_steps_per_second": 79.702,
|
| 1496 |
+
"step": 38399
|
| 1497 |
+
},
|
| 1498 |
+
{
|
| 1499 |
+
"epoch": 47.12,
|
| 1500 |
+
"learning_rate": 3.180258662113338e-05,
|
| 1501 |
+
"loss": 0.1008,
|
| 1502 |
+
"step": 38500
|
| 1503 |
+
},
|
| 1504 |
+
{
|
| 1505 |
+
"epoch": 47.43,
|
| 1506 |
+
"learning_rate": 3.154524591341034e-05,
|
| 1507 |
+
"loss": 0.121,
|
| 1508 |
+
"step": 38750
|
| 1509 |
+
},
|
| 1510 |
+
{
|
| 1511 |
+
"epoch": 47.74,
|
| 1512 |
+
"learning_rate": 3.128715846043534e-05,
|
| 1513 |
+
"loss": 0.0998,
|
| 1514 |
+
"step": 39000
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 48.0,
|
| 1518 |
+
"eval_accuracy": 0.696969696969697,
|
| 1519 |
+
"eval_f1": 0.5459744525861538,
|
| 1520 |
+
"eval_loss": 2.4267241954803467,
|
| 1521 |
+
"eval_precision": 0.6807294155120241,
|
| 1522 |
+
"eval_recall": 0.4855936141034663,
|
| 1523 |
+
"eval_runtime": 0.5758,
|
| 1524 |
+
"eval_samples_per_second": 630.432,
|
| 1525 |
+
"eval_steps_per_second": 79.889,
|
| 1526 |
+
"step": 39216
|
| 1527 |
+
},
|
| 1528 |
+
{
|
| 1529 |
+
"epoch": 48.04,
|
| 1530 |
+
"learning_rate": 3.102835370733277e-05,
|
| 1531 |
+
"loss": 0.0962,
|
| 1532 |
+
"step": 39250
|
| 1533 |
+
},
|
| 1534 |
+
{
|
| 1535 |
+
"epoch": 48.35,
|
| 1536 |
+
"learning_rate": 3.07688611810636e-05,
|
| 1537 |
+
"loss": 0.0778,
|
| 1538 |
+
"step": 39500
|
| 1539 |
+
},
|
| 1540 |
+
{
|
| 1541 |
+
"epoch": 48.65,
|
| 1542 |
+
"learning_rate": 3.0508710487056635e-05,
|
| 1543 |
+
"loss": 0.1145,
|
| 1544 |
+
"step": 39750
|
| 1545 |
+
},
|
| 1546 |
+
{
|
| 1547 |
+
"epoch": 48.96,
|
| 1548 |
+
"learning_rate": 3.0247931305830845e-05,
|
| 1549 |
+
"loss": 0.1048,
|
| 1550 |
+
"step": 40000
|
| 1551 |
+
},
|
| 1552 |
+
{
|
| 1553 |
+
"epoch": 49.0,
|
| 1554 |
+
"eval_accuracy": 0.6749311294765841,
|
| 1555 |
+
"eval_f1": 0.536908729765805,
|
| 1556 |
+
"eval_loss": 2.3678715229034424,
|
| 1557 |
+
"eval_precision": 0.6530412239759585,
|
| 1558 |
+
"eval_recall": 0.48379632135789763,
|
| 1559 |
+
"eval_runtime": 0.578,
|
| 1560 |
+
"eval_samples_per_second": 628.037,
|
| 1561 |
+
"eval_steps_per_second": 79.586,
|
| 1562 |
+
"step": 40033
|
| 1563 |
+
},
|
| 1564 |
+
{
|
| 1565 |
+
"epoch": 49.27,
|
| 1566 |
+
"learning_rate": 2.998655338960914e-05,
|
| 1567 |
+
"loss": 0.0751,
|
| 1568 |
+
"step": 40250
|
| 1569 |
+
},
|
| 1570 |
+
{
|
| 1571 |
+
"epoch": 49.57,
|
| 1572 |
+
"learning_rate": 2.9724606558923933e-05,
|
| 1573 |
+
"loss": 0.107,
|
| 1574 |
+
"step": 40500
|
| 1575 |
+
},
|
| 1576 |
+
{
|
| 1577 |
+
"epoch": 49.88,
|
| 1578 |
+
"learning_rate": 2.9462120699214922e-05,
|
| 1579 |
+
"loss": 0.0605,
|
| 1580 |
+
"step": 40750
|
| 1581 |
+
},
|
| 1582 |
+
{
|
| 1583 |
+
"epoch": 50.0,
|
| 1584 |
+
"eval_accuracy": 0.6859504132231405,
|
| 1585 |
+
"eval_f1": 0.5723258179466014,
|
| 1586 |
+
"eval_loss": 2.3588879108428955,
|
| 1587 |
+
"eval_precision": 0.6557361185869716,
|
| 1588 |
+
"eval_recall": 0.5364202334337802,
|
| 1589 |
+
"eval_runtime": 0.5756,
|
| 1590 |
+
"eval_samples_per_second": 630.622,
|
| 1591 |
+
"eval_steps_per_second": 79.913,
|
| 1592 |
+
"step": 40850
|
| 1593 |
+
},
|
| 1594 |
+
{
|
| 1595 |
+
"epoch": 50.18,
|
| 1596 |
+
"learning_rate": 2.9199125757419482e-05,
|
| 1597 |
+
"loss": 0.0718,
|
| 1598 |
+
"step": 41000
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 50.49,
|
| 1602 |
+
"learning_rate": 2.8935651738556013e-05,
|
| 1603 |
+
"loss": 0.0661,
|
| 1604 |
+
"step": 41250
|
| 1605 |
+
},
|
| 1606 |
+
{
|
| 1607 |
+
"epoch": 50.8,
|
| 1608 |
+
"learning_rate": 2.8671728702300687e-05,
|
| 1609 |
+
"loss": 0.101,
|
| 1610 |
+
"step": 41500
|
| 1611 |
+
},
|
| 1612 |
+
{
|
| 1613 |
+
"epoch": 51.0,
|
| 1614 |
+
"eval_accuracy": 0.7024793388429752,
|
| 1615 |
+
"eval_f1": 0.5646342747625367,
|
| 1616 |
+
"eval_loss": 2.261863946914673,
|
| 1617 |
+
"eval_precision": 0.6370711351914359,
|
| 1618 |
+
"eval_recall": 0.5380352030290453,
|
| 1619 |
+
"eval_runtime": 0.5759,
|
| 1620 |
+
"eval_samples_per_second": 630.369,
|
| 1621 |
+
"eval_steps_per_second": 79.881,
|
| 1622 |
+
"step": 41667
|
| 1623 |
+
},
|
| 1624 |
+
{
|
| 1625 |
+
"epoch": 51.1,
|
| 1626 |
+
"learning_rate": 2.840738675955793e-05,
|
| 1627 |
+
"loss": 0.1039,
|
| 1628 |
+
"step": 41750
|
| 1629 |
+
},
|
| 1630 |
+
{
|
| 1631 |
+
"epoch": 51.41,
|
| 1632 |
+
"learning_rate": 2.814371572615747e-05,
|
| 1633 |
+
"loss": 0.0769,
|
| 1634 |
+
"step": 42000
|
| 1635 |
+
},
|
| 1636 |
+
{
|
| 1637 |
+
"epoch": 51.71,
|
| 1638 |
+
"learning_rate": 2.787862786484319e-05,
|
| 1639 |
+
"loss": 0.0858,
|
| 1640 |
+
"step": 42250
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 52.0,
|
| 1644 |
+
"eval_accuracy": 0.6859504132231405,
|
| 1645 |
+
"eval_f1": 0.5195773061626721,
|
| 1646 |
+
"eval_loss": 2.5068295001983643,
|
| 1647 |
+
"eval_precision": 0.6063341583445594,
|
| 1648 |
+
"eval_recall": 0.4876037550298634,
|
| 1649 |
+
"eval_runtime": 0.5762,
|
| 1650 |
+
"eval_samples_per_second": 629.983,
|
| 1651 |
+
"eval_steps_per_second": 79.833,
|
| 1652 |
+
"step": 42484
|
| 1653 |
+
},
|
| 1654 |
+
{
|
| 1655 |
+
"epoch": 52.02,
|
| 1656 |
+
"learning_rate": 2.761321158169134e-05,
|
| 1657 |
+
"loss": 0.0844,
|
| 1658 |
+
"step": 42500
|
| 1659 |
+
},
|
| 1660 |
+
{
|
| 1661 |
+
"epoch": 52.33,
|
| 1662 |
+
"learning_rate": 2.734749715797047e-05,
|
| 1663 |
+
"loss": 0.069,
|
| 1664 |
+
"step": 42750
|
| 1665 |
+
},
|
| 1666 |
+
{
|
| 1667 |
+
"epoch": 52.63,
|
| 1668 |
+
"learning_rate": 2.7081514908963913e-05,
|
| 1669 |
+
"loss": 0.0784,
|
| 1670 |
+
"step": 43000
|
| 1671 |
+
},
|
| 1672 |
+
{
|
| 1673 |
+
"epoch": 52.94,
|
| 1674 |
+
"learning_rate": 2.681529518051109e-05,
|
| 1675 |
+
"loss": 0.0795,
|
| 1676 |
+
"step": 43250
|
| 1677 |
+
},
|
| 1678 |
+
{
|
| 1679 |
+
"epoch": 53.0,
|
| 1680 |
+
"eval_accuracy": 0.6887052341597796,
|
| 1681 |
+
"eval_f1": 0.4958589687437866,
|
| 1682 |
+
"eval_loss": 2.4998273849487305,
|
| 1683 |
+
"eval_precision": 0.6786654073384627,
|
| 1684 |
+
"eval_recall": 0.45129423122033957,
|
| 1685 |
+
"eval_runtime": 0.5744,
|
| 1686 |
+
"eval_samples_per_second": 631.991,
|
| 1687 |
+
"eval_steps_per_second": 80.087,
|
| 1688 |
+
"step": 43301
|
| 1689 |
+
},
|
| 1690 |
+
{
|
| 1691 |
+
"epoch": 53.24,
|
| 1692 |
+
"learning_rate": 2.6548868345545402e-05,
|
| 1693 |
+
"loss": 0.072,
|
| 1694 |
+
"step": 43500
|
| 1695 |
+
},
|
| 1696 |
+
{
|
| 1697 |
+
"epoch": 53.55,
|
| 1698 |
+
"learning_rate": 2.628226480062897e-05,
|
| 1699 |
+
"loss": 0.0401,
|
| 1700 |
+
"step": 43750
|
| 1701 |
+
},
|
| 1702 |
+
{
|
| 1703 |
+
"epoch": 53.86,
|
| 1704 |
+
"learning_rate": 2.6015514962484717e-05,
|
| 1705 |
+
"loss": 0.0674,
|
| 1706 |
+
"step": 44000
|
| 1707 |
+
},
|
| 1708 |
+
{
|
| 1709 |
+
"epoch": 54.0,
|
| 1710 |
+
"eval_accuracy": 0.6639118457300276,
|
| 1711 |
+
"eval_f1": 0.5109508473836721,
|
| 1712 |
+
"eval_loss": 2.704511880874634,
|
| 1713 |
+
"eval_precision": 0.6101414588534028,
|
| 1714 |
+
"eval_recall": 0.47100482987182496,
|
| 1715 |
+
"eval_runtime": 0.5772,
|
| 1716 |
+
"eval_samples_per_second": 628.872,
|
| 1717 |
+
"eval_steps_per_second": 79.692,
|
| 1718 |
+
"step": 44118
|
| 1719 |
+
},
|
| 1720 |
+
{
|
| 1721 |
+
"epoch": 54.16,
|
| 1722 |
+
"learning_rate": 2.574971691776212e-05,
|
| 1723 |
+
"loss": 0.0601,
|
| 1724 |
+
"step": 44250
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"epoch": 54.47,
|
| 1728 |
+
"learning_rate": 2.5482766087609973e-05,
|
| 1729 |
+
"loss": 0.0502,
|
| 1730 |
+
"step": 44500
|
| 1731 |
+
},
|
| 1732 |
+
{
|
| 1733 |
+
"epoch": 54.77,
|
| 1734 |
+
"learning_rate": 2.5215760178811658e-05,
|
| 1735 |
+
"loss": 0.1174,
|
| 1736 |
+
"step": 44750
|
| 1737 |
+
},
|
| 1738 |
+
{
|
| 1739 |
+
"epoch": 55.0,
|
| 1740 |
+
"eval_accuracy": 0.6859504132231405,
|
| 1741 |
+
"eval_f1": 0.516165985819526,
|
| 1742 |
+
"eval_loss": 2.3755171298980713,
|
| 1743 |
+
"eval_precision": 0.5969723691945914,
|
| 1744 |
+
"eval_recall": 0.4715294694358734,
|
| 1745 |
+
"eval_runtime": 0.5774,
|
| 1746 |
+
"eval_samples_per_second": 628.713,
|
| 1747 |
+
"eval_steps_per_second": 79.672,
|
| 1748 |
+
"step": 44935
|
| 1749 |
+
},
|
| 1750 |
+
{
|
| 1751 |
+
"epoch": 55.08,
|
| 1752 |
+
"learning_rate": 2.4948729653995663e-05,
|
| 1753 |
+
"loss": 0.0826,
|
| 1754 |
+
"step": 45000
|
| 1755 |
+
},
|
| 1756 |
+
{
|
| 1757 |
+
"epoch": 55.39,
|
| 1758 |
+
"learning_rate": 2.4681704978598928e-05,
|
| 1759 |
+
"loss": 0.0422,
|
| 1760 |
+
"step": 45250
|
| 1761 |
+
},
|
| 1762 |
+
{
|
| 1763 |
+
"epoch": 55.69,
|
| 1764 |
+
"learning_rate": 2.4414716617390998e-05,
|
| 1765 |
+
"loss": 0.059,
|
| 1766 |
+
"step": 45500
|
| 1767 |
+
},
|
| 1768 |
+
{
|
| 1769 |
+
"epoch": 56.0,
|
| 1770 |
+
"learning_rate": 2.414779503099838e-05,
|
| 1771 |
+
"loss": 0.0886,
|
| 1772 |
+
"step": 45750
|
| 1773 |
+
},
|
| 1774 |
+
{
|
| 1775 |
+
"epoch": 56.0,
|
| 1776 |
+
"eval_accuracy": 0.6804407713498623,
|
| 1777 |
+
"eval_f1": 0.47301725201698097,
|
| 1778 |
+
"eval_loss": 2.507392406463623,
|
| 1779 |
+
"eval_precision": 0.4981856952904839,
|
| 1780 |
+
"eval_recall": 0.4597725584486668,
|
| 1781 |
+
"eval_runtime": 0.5761,
|
| 1782 |
+
"eval_samples_per_second": 630.088,
|
| 1783 |
+
"eval_steps_per_second": 79.846,
|
| 1784 |
+
"step": 45752
|
| 1785 |
+
},
|
| 1786 |
+
{
|
| 1787 |
+
"epoch": 56.3,
|
| 1788 |
+
"learning_rate": 2.388097067242925e-05,
|
| 1789 |
+
"loss": 0.0528,
|
| 1790 |
+
"step": 46000
|
| 1791 |
+
},
|
| 1792 |
+
{
|
| 1793 |
+
"epoch": 56.61,
|
| 1794 |
+
"learning_rate": 2.3614273983599068e-05,
|
| 1795 |
+
"loss": 0.0643,
|
| 1796 |
+
"step": 46250
|
| 1797 |
+
},
|
| 1798 |
+
{
|
| 1799 |
+
"epoch": 56.92,
|
| 1800 |
+
"learning_rate": 2.334773539185752e-05,
|
| 1801 |
+
"loss": 0.058,
|
| 1802 |
+
"step": 46500
|
| 1803 |
+
},
|
| 1804 |
+
{
|
| 1805 |
+
"epoch": 57.0,
|
| 1806 |
+
"eval_accuracy": 0.6804407713498623,
|
| 1807 |
+
"eval_f1": 0.4807142977366666,
|
| 1808 |
+
"eval_loss": 2.5247209072113037,
|
| 1809 |
+
"eval_precision": 0.5200869236583522,
|
| 1810 |
+
"eval_recall": 0.45992668729737696,
|
| 1811 |
+
"eval_runtime": 0.5758,
|
| 1812 |
+
"eval_samples_per_second": 630.387,
|
| 1813 |
+
"eval_steps_per_second": 79.884,
|
| 1814 |
+
"step": 46569
|
| 1815 |
+
},
|
| 1816 |
+
{
|
| 1817 |
+
"epoch": 57.22,
|
| 1818 |
+
"learning_rate": 2.308138530651701e-05,
|
| 1819 |
+
"loss": 0.0823,
|
| 1820 |
+
"step": 46750
|
| 1821 |
+
},
|
| 1822 |
+
{
|
| 1823 |
+
"epoch": 57.53,
|
| 1824 |
+
"learning_rate": 2.2815254115383325e-05,
|
| 1825 |
+
"loss": 0.0428,
|
| 1826 |
+
"step": 47000
|
| 1827 |
+
},
|
| 1828 |
+
{
|
| 1829 |
+
"epoch": 57.83,
|
| 1830 |
+
"learning_rate": 2.254937218128868e-05,
|
| 1831 |
+
"loss": 0.0558,
|
| 1832 |
+
"step": 47250
|
| 1833 |
+
},
|
| 1834 |
+
{
|
| 1835 |
+
"epoch": 58.0,
|
| 1836 |
+
"eval_accuracy": 0.6914600550964187,
|
| 1837 |
+
"eval_f1": 0.4594613590535599,
|
| 1838 |
+
"eval_loss": 2.47005033493042,
|
| 1839 |
+
"eval_precision": 0.6139090044619999,
|
| 1840 |
+
"eval_recall": 0.4228677965439049,
|
| 1841 |
+
"eval_runtime": 0.5759,
|
| 1842 |
+
"eval_samples_per_second": 630.356,
|
| 1843 |
+
"eval_steps_per_second": 79.88,
|
| 1844 |
+
"step": 47386
|
| 1845 |
+
},
|
| 1846 |
+
{
|
| 1847 |
+
"epoch": 58.14,
|
| 1848 |
+
"learning_rate": 2.2283769838627582e-05,
|
| 1849 |
+
"loss": 0.0931,
|
| 1850 |
+
"step": 47500
|
| 1851 |
+
},
|
| 1852 |
+
{
|
| 1853 |
+
"epoch": 58.45,
|
| 1854 |
+
"learning_rate": 2.2018477389896086e-05,
|
| 1855 |
+
"loss": 0.0508,
|
| 1856 |
+
"step": 47750
|
| 1857 |
+
},
|
| 1858 |
+
{
|
| 1859 |
+
"epoch": 58.75,
|
| 1860 |
+
"learning_rate": 2.1753525102234484e-05,
|
| 1861 |
+
"loss": 0.0452,
|
| 1862 |
+
"step": 48000
|
| 1863 |
+
},
|
| 1864 |
+
{
|
| 1865 |
+
"epoch": 59.0,
|
| 1866 |
+
"eval_accuracy": 0.6942148760330579,
|
| 1867 |
+
"eval_f1": 0.46439631667557835,
|
| 1868 |
+
"eval_loss": 2.541719675064087,
|
| 1869 |
+
"eval_precision": 0.5814331265699046,
|
| 1870 |
+
"eval_recall": 0.43331322139819684,
|
| 1871 |
+
"eval_runtime": 0.5754,
|
| 1872 |
+
"eval_samples_per_second": 630.853,
|
| 1873 |
+
"eval_steps_per_second": 79.943,
|
| 1874 |
+
"step": 48203
|
| 1875 |
+
},
|
| 1876 |
+
{
|
| 1877 |
+
"epoch": 59.06,
|
| 1878 |
+
"learning_rate": 2.1488943203974225e-05,
|
| 1879 |
+
"loss": 0.0487,
|
| 1880 |
+
"step": 48250
|
| 1881 |
+
},
|
| 1882 |
+
{
|
| 1883 |
+
"epoch": 59.36,
|
| 1884 |
+
"learning_rate": 2.122581776857167e-05,
|
| 1885 |
+
"loss": 0.0777,
|
| 1886 |
+
"step": 48500
|
| 1887 |
+
},
|
| 1888 |
+
{
|
| 1889 |
+
"epoch": 59.67,
|
| 1890 |
+
"learning_rate": 2.0963119490709552e-05,
|
| 1891 |
+
"loss": 0.0656,
|
| 1892 |
+
"step": 48750
|
| 1893 |
+
},
|
| 1894 |
+
{
|
| 1895 |
+
"epoch": 59.98,
|
| 1896 |
+
"learning_rate": 2.0699825885128935e-05,
|
| 1897 |
+
"loss": 0.0589,
|
| 1898 |
+
"step": 49000
|
| 1899 |
+
},
|
| 1900 |
+
{
|
| 1901 |
+
"epoch": 60.0,
|
| 1902 |
+
"eval_accuracy": 0.6721763085399449,
|
| 1903 |
+
"eval_f1": 0.4951052024505615,
|
| 1904 |
+
"eval_loss": 2.631096363067627,
|
| 1905 |
+
"eval_precision": 0.5573207158969782,
|
| 1906 |
+
"eval_recall": 0.4686150056839712,
|
| 1907 |
+
"eval_runtime": 0.5753,
|
| 1908 |
+
"eval_samples_per_second": 630.965,
|
| 1909 |
+
"eval_steps_per_second": 79.957,
|
| 1910 |
+
"step": 49020
|
| 1911 |
+
},
|
| 1912 |
+
{
|
| 1913 |
+
"epoch": 60.28,
|
| 1914 |
+
"learning_rate": 2.0437022885194815e-05,
|
| 1915 |
+
"loss": 0.0345,
|
| 1916 |
+
"step": 49250
|
| 1917 |
+
},
|
| 1918 |
+
{
|
| 1919 |
+
"epoch": 60.59,
|
| 1920 |
+
"learning_rate": 2.017474047402702e-05,
|
| 1921 |
+
"loss": 0.0656,
|
| 1922 |
+
"step": 49500
|
| 1923 |
+
},
|
| 1924 |
+
{
|
| 1925 |
+
"epoch": 60.89,
|
| 1926 |
+
"learning_rate": 1.991300857535151e-05,
|
| 1927 |
+
"loss": 0.0993,
|
| 1928 |
+
"step": 49750
|
| 1929 |
+
},
|
| 1930 |
+
{
|
| 1931 |
+
"epoch": 61.0,
|
| 1932 |
+
"eval_accuracy": 0.6666666666666666,
|
| 1933 |
+
"eval_f1": 0.4534585450214669,
|
| 1934 |
+
"eval_loss": 2.720975160598755,
|
| 1935 |
+
"eval_precision": 0.5187203506875638,
|
| 1936 |
+
"eval_recall": 0.423817756545589,
|
| 1937 |
+
"eval_runtime": 0.5751,
|
| 1938 |
+
"eval_samples_per_second": 631.214,
|
| 1939 |
+
"eval_steps_per_second": 79.989,
|
| 1940 |
+
"step": 49837
|
| 1941 |
+
},
|
| 1942 |
+
{
|
| 1943 |
+
"epoch": 61.2,
|
| 1944 |
+
"learning_rate": 1.9651857050086467e-05,
|
| 1945 |
+
"loss": 0.0831,
|
| 1946 |
+
"step": 50000
|
| 1947 |
+
},
|
| 1948 |
+
{
|
| 1949 |
+
"epoch": 61.51,
|
| 1950 |
+
"learning_rate": 1.9391315692935428e-05,
|
| 1951 |
+
"loss": 0.0378,
|
| 1952 |
+
"step": 50250
|
| 1953 |
+
},
|
| 1954 |
+
{
|
| 1955 |
+
"epoch": 61.81,
|
| 1956 |
+
"learning_rate": 1.9131414228988008e-05,
|
| 1957 |
+
"loss": 0.0795,
|
| 1958 |
+
"step": 50500
|
| 1959 |
+
},
|
| 1960 |
+
{
|
| 1961 |
+
"epoch": 62.0,
|
| 1962 |
+
"eval_accuracy": 0.6942148760330579,
|
| 1963 |
+
"eval_f1": 0.5159346012569708,
|
| 1964 |
+
"eval_loss": 2.37697696685791,
|
| 1965 |
+
"eval_precision": 0.6010404846231928,
|
| 1966 |
+
"eval_recall": 0.4778067239274136,
|
| 1967 |
+
"eval_runtime": 0.5752,
|
| 1968 |
+
"eval_samples_per_second": 631.136,
|
| 1969 |
+
"eval_steps_per_second": 79.979,
|
| 1970 |
+
"step": 50654
|
| 1971 |
+
},
|
| 1972 |
+
{
|
| 1973 |
+
"epoch": 62.12,
|
| 1974 |
+
"learning_rate": 1.8872182310328605e-05,
|
| 1975 |
+
"loss": 0.0624,
|
| 1976 |
+
"step": 50750
|
| 1977 |
+
},
|
| 1978 |
+
{
|
| 1979 |
+
"epoch": 62.42,
|
| 1980 |
+
"learning_rate": 1.861364951265337e-05,
|
| 1981 |
+
"loss": 0.0685,
|
| 1982 |
+
"step": 51000
|
| 1983 |
+
},
|
| 1984 |
+
{
|
| 1985 |
+
"epoch": 62.73,
|
| 1986 |
+
"learning_rate": 1.835584533189595e-05,
|
| 1987 |
+
"loss": 0.0438,
|
| 1988 |
+
"step": 51250
|
| 1989 |
+
},
|
| 1990 |
+
{
|
| 1991 |
+
"epoch": 63.0,
|
| 1992 |
+
"eval_accuracy": 0.6942148760330579,
|
| 1993 |
+
"eval_f1": 0.5006627978013612,
|
| 1994 |
+
"eval_loss": 2.5155351161956787,
|
| 1995 |
+
"eval_precision": 0.5974857177798354,
|
| 1996 |
+
"eval_recall": 0.4612218207353675,
|
| 1997 |
+
"eval_runtime": 0.5756,
|
| 1998 |
+
"eval_samples_per_second": 630.635,
|
| 1999 |
+
"eval_steps_per_second": 79.915,
|
| 2000 |
+
"step": 51471
|
| 2001 |
+
},
|
| 2002 |
+
{
|
| 2003 |
+
"epoch": 63.04,
|
| 2004 |
+
"learning_rate": 1.8098799180862294e-05,
|
| 2005 |
+
"loss": 0.0512,
|
| 2006 |
+
"step": 51500
|
| 2007 |
+
},
|
| 2008 |
+
{
|
| 2009 |
+
"epoch": 63.34,
|
| 2010 |
+
"learning_rate": 1.784254038587494e-05,
|
| 2011 |
+
"loss": 0.0443,
|
| 2012 |
+
"step": 51750
|
| 2013 |
+
},
|
| 2014 |
+
{
|
| 2015 |
+
"epoch": 63.65,
|
| 2016 |
+
"learning_rate": 1.758709818342722e-05,
|
| 2017 |
+
"loss": 0.0331,
|
| 2018 |
+
"step": 52000
|
| 2019 |
+
},
|
| 2020 |
+
{
|
| 2021 |
+
"epoch": 63.95,
|
| 2022 |
+
"learning_rate": 1.7332501716847632e-05,
|
| 2023 |
+
"loss": 0.0432,
|
| 2024 |
+
"step": 52250
|
| 2025 |
+
},
|
| 2026 |
+
{
|
| 2027 |
+
"epoch": 64.0,
|
| 2028 |
+
"eval_accuracy": 0.6859504132231405,
|
| 2029 |
+
"eval_f1": 0.4691190044905215,
|
| 2030 |
+
"eval_loss": 2.5460140705108643,
|
| 2031 |
+
"eval_precision": 0.533927553927554,
|
| 2032 |
+
"eval_recall": 0.44402096603451285,
|
| 2033 |
+
"eval_runtime": 0.5748,
|
| 2034 |
+
"eval_samples_per_second": 631.506,
|
| 2035 |
+
"eval_steps_per_second": 80.026,
|
| 2036 |
+
"step": 52288
|
| 2037 |
+
},
|
| 2038 |
+
{
|
| 2039 |
+
"epoch": 64.26,
|
| 2040 |
+
"learning_rate": 1.7078780032974923e-05,
|
| 2041 |
+
"loss": 0.0442,
|
| 2042 |
+
"step": 52500
|
| 2043 |
+
},
|
| 2044 |
+
{
|
| 2045 |
+
"epoch": 64.57,
|
| 2046 |
+
"learning_rate": 1.682596207884414e-05,
|
| 2047 |
+
"loss": 0.0281,
|
| 2048 |
+
"step": 52750
|
| 2049 |
+
},
|
| 2050 |
+
{
|
| 2051 |
+
"epoch": 64.87,
|
| 2052 |
+
"learning_rate": 1.657608800518716e-05,
|
| 2053 |
+
"loss": 0.0609,
|
| 2054 |
+
"step": 53000
|
| 2055 |
+
},
|
| 2056 |
+
{
|
| 2057 |
+
"epoch": 65.0,
|
| 2058 |
+
"eval_accuracy": 0.7052341597796143,
|
| 2059 |
+
"eval_f1": 0.5783901018472066,
|
| 2060 |
+
"eval_loss": 2.4328320026397705,
|
| 2061 |
+
"eval_precision": 0.6903590657995944,
|
| 2062 |
+
"eval_recall": 0.5364771859229988,
|
| 2063 |
+
"eval_runtime": 0.5756,
|
| 2064 |
+
"eval_samples_per_second": 630.632,
|
| 2065 |
+
"eval_steps_per_second": 79.915,
|
| 2066 |
+
"step": 53105
|
| 2067 |
+
},
|
| 2068 |
+
{
|
| 2069 |
+
"epoch": 65.18,
|
| 2070 |
+
"learning_rate": 1.6325156131696083e-05,
|
| 2071 |
+
"loss": 0.0475,
|
| 2072 |
+
"step": 53250
|
| 2073 |
+
},
|
| 2074 |
+
{
|
| 2075 |
+
"epoch": 65.48,
|
| 2076 |
+
"learning_rate": 1.6075213968684297e-05,
|
| 2077 |
+
"loss": 0.0447,
|
| 2078 |
+
"step": 53500
|
| 2079 |
+
},
|
| 2080 |
+
{
|
| 2081 |
+
"epoch": 65.79,
|
| 2082 |
+
"learning_rate": 1.5826290031982382e-05,
|
| 2083 |
+
"loss": 0.0426,
|
| 2084 |
+
"step": 53750
|
| 2085 |
+
},
|
| 2086 |
+
{
|
| 2087 |
+
"epoch": 66.0,
|
| 2088 |
+
"eval_accuracy": 0.7107438016528925,
|
| 2089 |
+
"eval_f1": 0.5337400275204507,
|
| 2090 |
+
"eval_loss": 2.376704216003418,
|
| 2091 |
+
"eval_precision": 0.6895915165326075,
|
| 2092 |
+
"eval_recall": 0.47468881009521396,
|
| 2093 |
+
"eval_runtime": 0.5754,
|
| 2094 |
+
"eval_samples_per_second": 630.914,
|
| 2095 |
+
"eval_steps_per_second": 79.95,
|
| 2096 |
+
"step": 53922
|
| 2097 |
+
},
|
| 2098 |
+
{
|
| 2099 |
+
"epoch": 66.1,
|
| 2100 |
+
"learning_rate": 1.5578412721251766e-05,
|
| 2101 |
+
"loss": 0.0541,
|
| 2102 |
+
"step": 54000
|
| 2103 |
+
},
|
| 2104 |
+
{
|
| 2105 |
+
"epoch": 66.4,
|
| 2106 |
+
"learning_rate": 1.533161031674459e-05,
|
| 2107 |
+
"loss": 0.0469,
|
| 2108 |
+
"step": 54250
|
| 2109 |
+
},
|
| 2110 |
+
{
|
| 2111 |
+
"epoch": 66.71,
|
| 2112 |
+
"learning_rate": 1.5085910976077283e-05,
|
| 2113 |
+
"loss": 0.0194,
|
| 2114 |
+
"step": 54500
|
| 2115 |
+
},
|
| 2116 |
+
{
|
| 2117 |
+
"epoch": 67.0,
|
| 2118 |
+
"eval_accuracy": 0.7079889807162535,
|
| 2119 |
+
"eval_f1": 0.5368473703383648,
|
| 2120 |
+
"eval_loss": 2.5384085178375244,
|
| 2121 |
+
"eval_precision": 0.6938002473716759,
|
| 2122 |
+
"eval_recall": 0.4738072682653963,
|
| 2123 |
+
"eval_runtime": 0.575,
|
| 2124 |
+
"eval_samples_per_second": 631.275,
|
| 2125 |
+
"eval_steps_per_second": 79.996,
|
| 2126 |
+
"step": 54739
|
| 2127 |
+
},
|
| 2128 |
+
{
|
| 2129 |
+
"epoch": 67.01,
|
| 2130 |
+
"learning_rate": 1.4841342731017988e-05,
|
| 2131 |
+
"loss": 0.0356,
|
| 2132 |
+
"step": 54750
|
| 2133 |
+
},
|
| 2134 |
+
{
|
| 2135 |
+
"epoch": 67.32,
|
| 2136 |
+
"learning_rate": 1.4598904775700689e-05,
|
| 2137 |
+
"loss": 0.0421,
|
| 2138 |
+
"step": 55000
|
| 2139 |
+
},
|
| 2140 |
+
{
|
| 2141 |
+
"epoch": 67.63,
|
| 2142 |
+
"learning_rate": 1.4356677495577313e-05,
|
| 2143 |
+
"loss": 0.0423,
|
| 2144 |
+
"step": 55250
|
| 2145 |
+
},
|
| 2146 |
+
{
|
| 2147 |
+
"epoch": 67.93,
|
| 2148 |
+
"learning_rate": 1.4115664509103169e-05,
|
| 2149 |
+
"loss": 0.0557,
|
| 2150 |
+
"step": 55500
|
| 2151 |
+
},
|
| 2152 |
+
{
|
| 2153 |
+
"epoch": 68.0,
|
| 2154 |
+
"eval_accuracy": 0.7162534435261708,
|
| 2155 |
+
"eval_f1": 0.5433935912807646,
|
| 2156 |
+
"eval_loss": 2.393681049346924,
|
| 2157 |
+
"eval_precision": 0.6931352645638361,
|
| 2158 |
+
"eval_recall": 0.4979390717383328,
|
| 2159 |
+
"eval_runtime": 0.575,
|
| 2160 |
+
"eval_samples_per_second": 631.299,
|
| 2161 |
+
"eval_steps_per_second": 79.999,
|
| 2162 |
+
"step": 55556
|
| 2163 |
+
},
|
| 2164 |
+
{
|
| 2165 |
+
"epoch": 68.24,
|
| 2166 |
+
"learning_rate": 1.3875893313381589e-05,
|
| 2167 |
+
"loss": 0.0432,
|
| 2168 |
+
"step": 55750
|
| 2169 |
+
},
|
| 2170 |
+
{
|
| 2171 |
+
"epoch": 68.54,
|
| 2172 |
+
"learning_rate": 1.3637391263840368e-05,
|
| 2173 |
+
"loss": 0.0429,
|
| 2174 |
+
"step": 56000
|
| 2175 |
+
},
|
| 2176 |
+
{
|
| 2177 |
+
"epoch": 68.85,
|
| 2178 |
+
"learning_rate": 1.3400185571110769e-05,
|
| 2179 |
+
"loss": 0.0466,
|
| 2180 |
+
"step": 56250
|
| 2181 |
+
},
|
| 2182 |
+
{
|
| 2183 |
+
"epoch": 69.0,
|
| 2184 |
+
"eval_accuracy": 0.7107438016528925,
|
| 2185 |
+
"eval_f1": 0.5718625572894164,
|
| 2186 |
+
"eval_loss": 2.403398275375366,
|
| 2187 |
+
"eval_precision": 0.6765347833670815,
|
| 2188 |
+
"eval_recall": 0.5215229283579037,
|
| 2189 |
+
"eval_runtime": 0.5744,
|
| 2190 |
+
"eval_samples_per_second": 631.944,
|
| 2191 |
+
"eval_steps_per_second": 80.081,
|
| 2192 |
+
"step": 56373
|
| 2193 |
+
},
|
| 2194 |
+
{
|
| 2195 |
+
"epoch": 69.16,
|
| 2196 |
+
"learning_rate": 1.316430329792307e-05,
|
| 2197 |
+
"loss": 0.0465,
|
| 2198 |
+
"step": 56500
|
| 2199 |
+
},
|
| 2200 |
+
{
|
| 2201 |
+
"epoch": 69.46,
|
| 2202 |
+
"learning_rate": 1.2929771356018988e-05,
|
| 2203 |
+
"loss": 0.0548,
|
| 2204 |
+
"step": 56750
|
| 2205 |
+
},
|
| 2206 |
+
{
|
| 2207 |
+
"epoch": 69.77,
|
| 2208 |
+
"learning_rate": 1.2696616503081343e-05,
|
| 2209 |
+
"loss": 0.0517,
|
| 2210 |
+
"step": 57000
|
| 2211 |
+
},
|
| 2212 |
+
{
|
| 2213 |
+
"epoch": 70.0,
|
| 2214 |
+
"eval_accuracy": 0.7052341597796143,
|
| 2215 |
+
"eval_f1": 0.5117271310290573,
|
| 2216 |
+
"eval_loss": 2.4453024864196777,
|
| 2217 |
+
"eval_precision": 0.7065175565175564,
|
| 2218 |
+
"eval_recall": 0.46373618855145954,
|
| 2219 |
+
"eval_runtime": 0.5763,
|
| 2220 |
+
"eval_samples_per_second": 629.826,
|
| 2221 |
+
"eval_steps_per_second": 79.813,
|
| 2222 |
+
"step": 57190
|
| 2223 |
+
},
|
| 2224 |
+
{
|
| 2225 |
+
"epoch": 70.07,
|
| 2226 |
+
"learning_rate": 1.2464865339681253e-05,
|
| 2227 |
+
"loss": 0.0226,
|
| 2228 |
+
"step": 57250
|
| 2229 |
+
},
|
| 2230 |
+
{
|
| 2231 |
+
"epoch": 70.38,
|
| 2232 |
+
"learning_rate": 1.2234544306243286e-05,
|
| 2233 |
+
"loss": 0.0292,
|
| 2234 |
+
"step": 57500
|
| 2235 |
+
},
|
| 2236 |
+
{
|
| 2237 |
+
"epoch": 70.69,
|
| 2238 |
+
"learning_rate": 1.2005679680028897e-05,
|
| 2239 |
+
"loss": 0.0368,
|
| 2240 |
+
"step": 57750
|
| 2241 |
+
},
|
| 2242 |
+
{
|
| 2243 |
+
"epoch": 70.99,
|
| 2244 |
+
"learning_rate": 1.177920411295463e-05,
|
| 2245 |
+
"loss": 0.0437,
|
| 2246 |
+
"step": 58000
|
| 2247 |
+
},
|
| 2248 |
+
{
|
| 2249 |
+
"epoch": 71.0,
|
| 2250 |
+
"eval_accuracy": 0.6887052341597796,
|
| 2251 |
+
"eval_f1": 0.4571751135533447,
|
| 2252 |
+
"eval_loss": 2.6550002098083496,
|
| 2253 |
+
"eval_precision": 0.6424798334634401,
|
| 2254 |
+
"eval_recall": 0.41016626367611586,
|
| 2255 |
+
"eval_runtime": 0.5744,
|
| 2256 |
+
"eval_samples_per_second": 632.012,
|
| 2257 |
+
"eval_steps_per_second": 80.09,
|
| 2258 |
+
"step": 58007
|
| 2259 |
+
},
|
| 2260 |
+
{
|
| 2261 |
+
"epoch": 71.3,
|
| 2262 |
+
"learning_rate": 1.1553324380057995e-05,
|
| 2263 |
+
"loss": 0.037,
|
| 2264 |
+
"step": 58250
|
| 2265 |
+
},
|
| 2266 |
+
{
|
| 2267 |
+
"epoch": 71.6,
|
| 2268 |
+
"learning_rate": 1.1328978774573311e-05,
|
| 2269 |
+
"loss": 0.0361,
|
| 2270 |
+
"step": 58500
|
| 2271 |
+
},
|
| 2272 |
+
{
|
| 2273 |
+
"epoch": 71.91,
|
| 2274 |
+
"learning_rate": 1.1106192892027184e-05,
|
| 2275 |
+
"loss": 0.0451,
|
| 2276 |
+
"step": 58750
|
| 2277 |
+
},
|
| 2278 |
+
{
|
| 2279 |
+
"epoch": 72.0,
|
| 2280 |
+
"eval_accuracy": 0.6942148760330579,
|
| 2281 |
+
"eval_f1": 0.476209725136688,
|
| 2282 |
+
"eval_loss": 2.6152384281158447,
|
| 2283 |
+
"eval_precision": 0.6680127132820342,
|
| 2284 |
+
"eval_recall": 0.4248004219371215,
|
| 2285 |
+
"eval_runtime": 0.5754,
|
| 2286 |
+
"eval_samples_per_second": 630.887,
|
| 2287 |
+
"eval_steps_per_second": 79.947,
|
| 2288 |
+
"step": 58824
|
| 2289 |
+
},
|
| 2290 |
+
{
|
| 2291 |
+
"epoch": 72.22,
|
| 2292 |
+
"learning_rate": 1.0884992149997797e-05,
|
| 2293 |
+
"loss": 0.0112,
|
| 2294 |
+
"step": 59000
|
| 2295 |
+
},
|
| 2296 |
+
{
|
| 2297 |
+
"epoch": 72.52,
|
| 2298 |
+
"learning_rate": 1.066540178521517e-05,
|
| 2299 |
+
"loss": 0.043,
|
| 2300 |
+
"step": 59250
|
| 2301 |
+
},
|
| 2302 |
+
{
|
| 2303 |
+
"epoch": 72.83,
|
| 2304 |
+
"learning_rate": 1.04474468506818e-05,
|
| 2305 |
+
"loss": 0.0294,
|
| 2306 |
+
"step": 59500
|
| 2307 |
+
},
|
| 2308 |
+
{
|
| 2309 |
+
"epoch": 73.0,
|
| 2310 |
+
"eval_accuracy": 0.6887052341597796,
|
| 2311 |
+
"eval_f1": 0.5392699243016044,
|
| 2312 |
+
"eval_loss": 2.5824713706970215,
|
| 2313 |
+
"eval_precision": 0.6700918129489558,
|
| 2314 |
+
"eval_recall": 0.4843369001004469,
|
| 2315 |
+
"eval_runtime": 0.5751,
|
| 2316 |
+
"eval_samples_per_second": 631.242,
|
| 2317 |
+
"eval_steps_per_second": 79.992,
|
| 2318 |
+
"step": 59641
|
| 2319 |
+
},
|
| 2320 |
+
{
|
| 2321 |
+
"epoch": 73.13,
|
| 2322 |
+
"learning_rate": 1.0231152212814419e-05,
|
| 2323 |
+
"loss": 0.0468,
|
| 2324 |
+
"step": 59750
|
| 2325 |
+
},
|
| 2326 |
+
{
|
| 2327 |
+
"epoch": 73.44,
|
| 2328 |
+
"learning_rate": 1.0016542548606983e-05,
|
| 2329 |
+
"loss": 0.0316,
|
| 2330 |
+
"step": 60000
|
| 2331 |
+
},
|
| 2332 |
+
{
|
| 2333 |
+
"epoch": 73.75,
|
| 2334 |
+
"learning_rate": 9.803642342815278e-06,
|
| 2335 |
+
"loss": 0.0429,
|
| 2336 |
+
"step": 60250
|
| 2337 |
+
},
|
| 2338 |
+
{
|
| 2339 |
+
"epoch": 74.0,
|
| 2340 |
+
"eval_accuracy": 0.696969696969697,
|
| 2341 |
+
"eval_f1": 0.48452204181281855,
|
| 2342 |
+
"eval_loss": 2.451073408126831,
|
| 2343 |
+
"eval_precision": 0.6746470741527906,
|
| 2344 |
+
"eval_recall": 0.4329222604161029,
|
| 2345 |
+
"eval_runtime": 0.5756,
|
| 2346 |
+
"eval_samples_per_second": 630.696,
|
| 2347 |
+
"eval_steps_per_second": 79.923,
|
| 2348 |
+
"step": 60458
|
| 2349 |
+
},
|
| 2350 |
+
{
|
| 2351 |
+
"epoch": 74.05,
|
| 2352 |
+
"learning_rate": 9.592475885163487e-06,
|
| 2353 |
+
"loss": 0.0236,
|
| 2354 |
+
"step": 60500
|
| 2355 |
+
},
|
| 2356 |
+
{
|
| 2357 |
+
"epoch": 74.36,
|
| 2358 |
+
"learning_rate": 9.383067267572908e-06,
|
| 2359 |
+
"loss": 0.0221,
|
| 2360 |
+
"step": 60750
|
| 2361 |
+
},
|
| 2362 |
+
{
|
| 2363 |
+
"epoch": 74.66,
|
| 2364 |
+
"learning_rate": 9.17544038141342e-06,
|
| 2365 |
+
"loss": 0.0313,
|
| 2366 |
+
"step": 61000
|
| 2367 |
+
},
|
| 2368 |
+
{
|
| 2369 |
+
"epoch": 74.97,
|
| 2370 |
+
"learning_rate": 8.969618914777637e-06,
|
| 2371 |
+
"loss": 0.0389,
|
| 2372 |
+
"step": 61250
|
| 2373 |
+
},
|
| 2374 |
+
{
|
| 2375 |
+
"epoch": 75.0,
|
| 2376 |
+
"eval_accuracy": 0.6749311294765841,
|
| 2377 |
+
"eval_f1": 0.47978279633622645,
|
| 2378 |
+
"eval_loss": 2.7327232360839844,
|
| 2379 |
+
"eval_precision": 0.5541808071284741,
|
| 2380 |
+
"eval_recall": 0.44874471450826137,
|
| 2381 |
+
"eval_runtime": 0.5752,
|
| 2382 |
+
"eval_samples_per_second": 631.071,
|
| 2383 |
+
"eval_steps_per_second": 79.97,
|
| 2384 |
+
"step": 61275
|
| 2385 |
+
},
|
| 2386 |
+
{
|
| 2387 |
+
"epoch": 75.28,
|
| 2388 |
+
"learning_rate": 8.765626349778362e-06,
|
| 2389 |
+
"loss": 0.0227,
|
| 2390 |
+
"step": 61500
|
| 2391 |
+
},
|
| 2392 |
+
{
|
| 2393 |
+
"epoch": 75.58,
|
| 2394 |
+
"learning_rate": 8.563485959869575e-06,
|
| 2395 |
+
"loss": 0.0303,
|
| 2396 |
+
"step": 61750
|
| 2397 |
+
},
|
| 2398 |
+
{
|
| 2399 |
+
"epoch": 75.89,
|
| 2400 |
+
"learning_rate": 8.363220807191058e-06,
|
| 2401 |
+
"loss": 0.0305,
|
| 2402 |
+
"step": 62000
|
| 2403 |
+
},
|
| 2404 |
+
{
|
| 2405 |
+
"epoch": 76.0,
|
| 2406 |
+
"eval_accuracy": 0.7024793388429752,
|
| 2407 |
+
"eval_f1": 0.5534820298880379,
|
| 2408 |
+
"eval_loss": 2.4534895420074463,
|
| 2409 |
+
"eval_precision": 0.6256500777723188,
|
| 2410 |
+
"eval_recall": 0.5284146306621677,
|
| 2411 |
+
"eval_runtime": 0.5743,
|
| 2412 |
+
"eval_samples_per_second": 632.097,
|
| 2413 |
+
"eval_steps_per_second": 80.1,
|
| 2414 |
+
"step": 62092
|
| 2415 |
+
},
|
| 2416 |
+
{
|
| 2417 |
+
"epoch": 76.19,
|
| 2418 |
+
"learning_rate": 8.164853739937368e-06,
|
| 2419 |
+
"loss": 0.034,
|
| 2420 |
+
"step": 62250
|
| 2421 |
+
},
|
| 2422 |
+
{
|
| 2423 |
+
"epoch": 76.5,
|
| 2424 |
+
"learning_rate": 7.968407389751003e-06,
|
| 2425 |
+
"loss": 0.034,
|
| 2426 |
+
"step": 62500
|
| 2427 |
+
},
|
| 2428 |
+
{
|
| 2429 |
+
"epoch": 76.81,
|
| 2430 |
+
"learning_rate": 7.773904169140392e-06,
|
| 2431 |
+
"loss": 0.023,
|
| 2432 |
+
"step": 62750
|
| 2433 |
+
},
|
| 2434 |
+
{
|
| 2435 |
+
"epoch": 77.0,
|
| 2436 |
+
"eval_accuracy": 0.7024793388429752,
|
| 2437 |
+
"eval_f1": 0.4687311706012172,
|
| 2438 |
+
"eval_loss": 2.6240921020507812,
|
| 2439 |
+
"eval_precision": 0.5393879300200679,
|
| 2440 |
+
"eval_recall": 0.4422954747770019,
|
| 2441 |
+
"eval_runtime": 0.5739,
|
| 2442 |
+
"eval_samples_per_second": 632.494,
|
| 2443 |
+
"eval_steps_per_second": 80.151,
|
| 2444 |
+
"step": 62909
|
| 2445 |
+
},
|
| 2446 |
+
{
|
| 2447 |
+
"epoch": 77.11,
|
| 2448 |
+
"learning_rate": 7.581366268922896e-06,
|
| 2449 |
+
"loss": 0.0132,
|
| 2450 |
+
"step": 63000
|
| 2451 |
+
},
|
| 2452 |
+
{
|
| 2453 |
+
"epoch": 77.42,
|
| 2454 |
+
"learning_rate": 7.3908156556929705e-06,
|
| 2455 |
+
"loss": 0.0201,
|
| 2456 |
+
"step": 63250
|
| 2457 |
+
},
|
| 2458 |
+
{
|
| 2459 |
+
"epoch": 77.72,
|
| 2460 |
+
"learning_rate": 7.20227406931612e-06,
|
| 2461 |
+
"loss": 0.0305,
|
| 2462 |
+
"step": 63500
|
| 2463 |
+
},
|
| 2464 |
+
{
|
| 2465 |
+
"epoch": 78.0,
|
| 2466 |
+
"eval_accuracy": 0.6942148760330579,
|
| 2467 |
+
"eval_f1": 0.4474972103847281,
|
| 2468 |
+
"eval_loss": 2.737638235092163,
|
| 2469 |
+
"eval_precision": 0.539260468004995,
|
| 2470 |
+
"eval_recall": 0.407899366643209,
|
| 2471 |
+
"eval_runtime": 0.5754,
|
| 2472 |
+
"eval_samples_per_second": 630.913,
|
| 2473 |
+
"eval_steps_per_second": 79.95,
|
| 2474 |
+
"step": 63726
|
| 2475 |
+
},
|
| 2476 |
+
{
|
| 2477 |
+
"epoch": 78.03,
|
| 2478 |
+
"learning_rate": 7.01576302044851e-06,
|
| 2479 |
+
"loss": 0.0258,
|
| 2480 |
+
"step": 63750
|
| 2481 |
+
},
|
| 2482 |
+
{
|
| 2483 |
+
"epoch": 78.34,
|
| 2484 |
+
"learning_rate": 6.831303788082866e-06,
|
| 2485 |
+
"loss": 0.0212,
|
| 2486 |
+
"step": 64000
|
| 2487 |
+
},
|
| 2488 |
+
{
|
| 2489 |
+
"epoch": 78.64,
|
| 2490 |
+
"learning_rate": 6.6489174171207504e-06,
|
| 2491 |
+
"loss": 0.0178,
|
| 2492 |
+
"step": 64250
|
| 2493 |
+
},
|
| 2494 |
+
{
|
| 2495 |
+
"epoch": 78.95,
|
| 2496 |
+
"learning_rate": 6.469341688844232e-06,
|
| 2497 |
+
"loss": 0.0278,
|
| 2498 |
+
"step": 64500
|
| 2499 |
+
},
|
| 2500 |
+
{
|
| 2501 |
+
"epoch": 79.0,
|
| 2502 |
+
"eval_accuracy": 0.7052341597796143,
|
| 2503 |
+
"eval_f1": 0.5369051843353192,
|
| 2504 |
+
"eval_loss": 2.641106605529785,
|
| 2505 |
+
"eval_precision": 0.6364117161569525,
|
| 2506 |
+
"eval_recall": 0.48457279242377765,
|
| 2507 |
+
"eval_runtime": 0.5738,
|
| 2508 |
+
"eval_samples_per_second": 632.582,
|
| 2509 |
+
"eval_steps_per_second": 80.162,
|
| 2510 |
+
"step": 64543
|
| 2511 |
+
},
|
| 2512 |
+
{
|
| 2513 |
+
"epoch": 79.25,
|
| 2514 |
+
"learning_rate": 6.291154729438112e-06,
|
| 2515 |
+
"loss": 0.0211,
|
| 2516 |
+
"step": 64750
|
| 2517 |
+
},
|
| 2518 |
+
{
|
| 2519 |
+
"epoch": 79.56,
|
| 2520 |
+
"learning_rate": 6.115102256888608e-06,
|
| 2521 |
+
"loss": 0.027,
|
| 2522 |
+
"step": 65000
|
| 2523 |
+
},
|
| 2524 |
+
{
|
| 2525 |
+
"epoch": 79.87,
|
| 2526 |
+
"learning_rate": 5.9412043569724075e-06,
|
| 2527 |
+
"loss": 0.0245,
|
| 2528 |
+
"step": 65250
|
| 2529 |
+
},
|
| 2530 |
+
{
|
| 2531 |
+
"epoch": 80.0,
|
| 2532 |
+
"eval_accuracy": 0.6887052341597796,
|
| 2533 |
+
"eval_f1": 0.5139284663519239,
|
| 2534 |
+
"eval_loss": 2.8429274559020996,
|
| 2535 |
+
"eval_precision": 0.6295462275834203,
|
| 2536 |
+
"eval_recall": 0.46902355991025946,
|
| 2537 |
+
"eval_runtime": 0.5746,
|
| 2538 |
+
"eval_samples_per_second": 631.731,
|
| 2539 |
+
"eval_steps_per_second": 80.054,
|
| 2540 |
+
"step": 65360
|
| 2541 |
+
},
|
| 2542 |
+
{
|
| 2543 |
+
"epoch": 80.17,
|
| 2544 |
+
"learning_rate": 5.769480869651678e-06,
|
| 2545 |
+
"loss": 0.0177,
|
| 2546 |
+
"step": 65500
|
| 2547 |
+
},
|
| 2548 |
+
{
|
| 2549 |
+
"epoch": 80.48,
|
| 2550 |
+
"learning_rate": 5.599951386810407e-06,
|
| 2551 |
+
"loss": 0.0229,
|
| 2552 |
+
"step": 65750
|
| 2553 |
+
},
|
| 2554 |
+
{
|
| 2555 |
+
"epoch": 80.78,
|
| 2556 |
+
"learning_rate": 5.432635250019285e-06,
|
| 2557 |
+
"loss": 0.0227,
|
| 2558 |
+
"step": 66000
|
| 2559 |
+
},
|
| 2560 |
+
{
|
| 2561 |
+
"epoch": 81.0,
|
| 2562 |
+
"eval_accuracy": 0.7245179063360881,
|
| 2563 |
+
"eval_f1": 0.5777058546571006,
|
| 2564 |
+
"eval_loss": 2.6588237285614014,
|
| 2565 |
+
"eval_precision": 0.6858633718409165,
|
| 2566 |
+
"eval_recall": 0.5245856565437846,
|
| 2567 |
+
"eval_runtime": 0.5738,
|
| 2568 |
+
"eval_samples_per_second": 632.57,
|
| 2569 |
+
"eval_steps_per_second": 80.16,
|
| 2570 |
+
"step": 66177
|
| 2571 |
+
},
|
| 2572 |
+
{
|
| 2573 |
+
"epoch": 81.09,
|
| 2574 |
+
"learning_rate": 5.26755154832895e-06,
|
| 2575 |
+
"loss": 0.0261,
|
| 2576 |
+
"step": 66250
|
| 2577 |
+
},
|
| 2578 |
+
{
|
| 2579 |
+
"epoch": 81.4,
|
| 2580 |
+
"learning_rate": 5.1047191160921495e-06,
|
| 2581 |
+
"loss": 0.0191,
|
| 2582 |
+
"step": 66500
|
| 2583 |
+
},
|
| 2584 |
+
{
|
| 2585 |
+
"epoch": 81.7,
|
| 2586 |
+
"learning_rate": 4.9441565308149724e-06,
|
| 2587 |
+
"loss": 0.0226,
|
| 2588 |
+
"step": 66750
|
| 2589 |
+
},
|
| 2590 |
+
{
|
| 2591 |
+
"epoch": 82.0,
|
| 2592 |
+
"eval_accuracy": 0.7024793388429752,
|
| 2593 |
+
"eval_f1": 0.5153196455189113,
|
| 2594 |
+
"eval_loss": 2.683469533920288,
|
| 2595 |
+
"eval_precision": 0.5957972186543615,
|
| 2596 |
+
"eval_recall": 0.47307357735313404,
|
| 2597 |
+
"eval_runtime": 0.5753,
|
| 2598 |
+
"eval_samples_per_second": 630.959,
|
| 2599 |
+
"eval_steps_per_second": 79.956,
|
| 2600 |
+
"step": 66994
|
| 2601 |
+
},
|
| 2602 |
+
{
|
| 2603 |
+
"epoch": 82.01,
|
| 2604 |
+
"learning_rate": 4.785882111037252e-06,
|
| 2605 |
+
"loss": 0.0164,
|
| 2606 |
+
"step": 67000
|
| 2607 |
+
},
|
| 2608 |
+
{
|
| 2609 |
+
"epoch": 82.31,
|
| 2610 |
+
"learning_rate": 4.629913914242723e-06,
|
| 2611 |
+
"loss": 0.0207,
|
| 2612 |
+
"step": 67250
|
| 2613 |
+
},
|
| 2614 |
+
{
|
| 2615 |
+
"epoch": 82.62,
|
| 2616 |
+
"learning_rate": 4.4762697347987634e-06,
|
| 2617 |
+
"loss": 0.0211,
|
| 2618 |
+
"step": 67500
|
| 2619 |
+
},
|
| 2620 |
+
{
|
| 2621 |
+
"epoch": 82.93,
|
| 2622 |
+
"learning_rate": 4.324967101926272e-06,
|
| 2623 |
+
"loss": 0.0224,
|
| 2624 |
+
"step": 67750
|
| 2625 |
+
},
|
| 2626 |
+
{
|
| 2627 |
+
"epoch": 83.0,
|
| 2628 |
+
"eval_accuracy": 0.699724517906336,
|
| 2629 |
+
"eval_f1": 0.5510071098243216,
|
| 2630 |
+
"eval_loss": 2.7483408451080322,
|
| 2631 |
+
"eval_precision": 0.6299525870954442,
|
| 2632 |
+
"eval_recall": 0.5086697101475426,
|
| 2633 |
+
"eval_runtime": 0.5745,
|
| 2634 |
+
"eval_samples_per_second": 631.809,
|
| 2635 |
+
"eval_steps_per_second": 80.064,
|
| 2636 |
+
"step": 67811
|
| 2637 |
+
},
|
| 2638 |
+
{
|
| 2639 |
+
"epoch": 83.23,
|
| 2640 |
+
"learning_rate": 4.176023277699789e-06,
|
| 2641 |
+
"loss": 0.027,
|
| 2642 |
+
"step": 68000
|
| 2643 |
+
},
|
| 2644 |
+
{
|
| 2645 |
+
"epoch": 83.54,
|
| 2646 |
+
"learning_rate": 4.029455255077999e-06,
|
| 2647 |
+
"loss": 0.0154,
|
| 2648 |
+
"step": 68250
|
| 2649 |
+
},
|
| 2650 |
+
{
|
| 2651 |
+
"epoch": 83.84,
|
| 2652 |
+
"learning_rate": 3.8852797559650935e-06,
|
| 2653 |
+
"loss": 0.0195,
|
| 2654 |
+
"step": 68500
|
| 2655 |
+
},
|
| 2656 |
+
{
|
| 2657 |
+
"epoch": 84.0,
|
| 2658 |
+
"eval_accuracy": 0.699724517906336,
|
| 2659 |
+
"eval_f1": 0.52634249226563,
|
| 2660 |
+
"eval_loss": 2.7812142372131348,
|
| 2661 |
+
"eval_precision": 0.5949473728885494,
|
| 2662 |
+
"eval_recall": 0.49608820981973695,
|
| 2663 |
+
"eval_runtime": 0.5756,
|
| 2664 |
+
"eval_samples_per_second": 630.699,
|
| 2665 |
+
"eval_steps_per_second": 79.923,
|
| 2666 |
+
"step": 68628
|
| 2667 |
+
},
|
| 2668 |
+
{
|
| 2669 |
+
"epoch": 84.15,
|
| 2670 |
+
"learning_rate": 3.7440754752084e-06,
|
| 2671 |
+
"loss": 0.012,
|
| 2672 |
+
"step": 68750
|
| 2673 |
+
},
|
| 2674 |
+
{
|
| 2675 |
+
"epoch": 84.46,
|
| 2676 |
+
"learning_rate": 3.604724362660877e-06,
|
| 2677 |
+
"loss": 0.0262,
|
| 2678 |
+
"step": 69000
|
| 2679 |
+
},
|
| 2680 |
+
{
|
| 2681 |
+
"epoch": 84.76,
|
| 2682 |
+
"learning_rate": 3.467814231049432e-06,
|
| 2683 |
+
"loss": 0.0106,
|
| 2684 |
+
"step": 69250
|
| 2685 |
+
},
|
| 2686 |
+
{
|
| 2687 |
+
"epoch": 85.0,
|
| 2688 |
+
"eval_accuracy": 0.6942148760330579,
|
| 2689 |
+
"eval_f1": 0.5085355239316488,
|
| 2690 |
+
"eval_loss": 2.8171160221099854,
|
| 2691 |
+
"eval_precision": 0.6049143980994077,
|
| 2692 |
+
"eval_recall": 0.4679249219581732,
|
| 2693 |
+
"eval_runtime": 0.5729,
|
| 2694 |
+
"eval_samples_per_second": 633.612,
|
| 2695 |
+
"eval_steps_per_second": 80.292,
|
| 2696 |
+
"step": 69445
|
| 2697 |
+
},
|
| 2698 |
+
{
|
| 2699 |
+
"epoch": 85.07,
|
| 2700 |
+
"learning_rate": 3.33336070041218e-06,
|
| 2701 |
+
"loss": 0.0258,
|
| 2702 |
+
"step": 69500
|
| 2703 |
+
},
|
| 2704 |
+
{
|
| 2705 |
+
"epoch": 85.37,
|
| 2706 |
+
"learning_rate": 3.2013791105143466e-06,
|
| 2707 |
+
"loss": 0.0118,
|
| 2708 |
+
"step": 69750
|
| 2709 |
+
},
|
| 2710 |
+
{
|
| 2711 |
+
"epoch": 85.68,
|
| 2712 |
+
"learning_rate": 3.071884519098131e-06,
|
| 2713 |
+
"loss": 0.0217,
|
| 2714 |
+
"step": 70000
|
| 2715 |
+
},
|
| 2716 |
+
{
|
| 2717 |
+
"epoch": 85.99,
|
| 2718 |
+
"learning_rate": 2.9448917001647703e-06,
|
| 2719 |
+
"loss": 0.0155,
|
| 2720 |
+
"step": 70250
|
| 2721 |
+
},
|
| 2722 |
+
{
|
| 2723 |
+
"epoch": 86.0,
|
| 2724 |
+
"eval_accuracy": 0.6887052341597796,
|
| 2725 |
+
"eval_f1": 0.4962240507440637,
|
| 2726 |
+
"eval_loss": 2.8894941806793213,
|
| 2727 |
+
"eval_precision": 0.5999622071050642,
|
| 2728 |
+
"eval_recall": 0.45233290929103737,
|
| 2729 |
+
"eval_runtime": 0.575,
|
| 2730 |
+
"eval_samples_per_second": 631.309,
|
| 2731 |
+
"eval_steps_per_second": 80.001,
|
| 2732 |
+
"step": 70262
|
| 2733 |
+
},
|
| 2734 |
+
{
|
| 2735 |
+
"epoch": 86.29,
|
| 2736 |
+
"learning_rate": 2.820415142289015e-06,
|
| 2737 |
+
"loss": 0.0196,
|
| 2738 |
+
"step": 70500
|
| 2739 |
+
},
|
| 2740 |
+
{
|
| 2741 |
+
"epoch": 86.6,
|
| 2742 |
+
"learning_rate": 2.698951772130373e-06,
|
| 2743 |
+
"loss": 0.0064,
|
| 2744 |
+
"step": 70750
|
| 2745 |
+
},
|
| 2746 |
+
{
|
| 2747 |
+
"epoch": 86.9,
|
| 2748 |
+
"learning_rate": 2.5795398473242555e-06,
|
| 2749 |
+
"loss": 0.0111,
|
| 2750 |
+
"step": 71000
|
| 2751 |
+
},
|
| 2752 |
+
{
|
| 2753 |
+
"epoch": 87.0,
|
| 2754 |
+
"eval_accuracy": 0.6859504132231405,
|
| 2755 |
+
"eval_f1": 0.4869283447078967,
|
| 2756 |
+
"eval_loss": 2.887157678604126,
|
| 2757 |
+
"eval_precision": 0.596748772605851,
|
| 2758 |
+
"eval_recall": 0.44054806714905237,
|
| 2759 |
+
"eval_runtime": 0.575,
|
| 2760 |
+
"eval_samples_per_second": 631.314,
|
| 2761 |
+
"eval_steps_per_second": 80.001,
|
| 2762 |
+
"step": 71079
|
| 2763 |
+
},
|
| 2764 |
+
{
|
| 2765 |
+
"epoch": 87.21,
|
| 2766 |
+
"learning_rate": 2.462685866465117e-06,
|
| 2767 |
+
"loss": 0.0174,
|
| 2768 |
+
"step": 71250
|
| 2769 |
+
},
|
| 2770 |
+
{
|
| 2771 |
+
"epoch": 87.52,
|
| 2772 |
+
"learning_rate": 2.3484031613905387e-06,
|
| 2773 |
+
"loss": 0.0105,
|
| 2774 |
+
"step": 71500
|
| 2775 |
+
},
|
| 2776 |
+
{
|
| 2777 |
+
"epoch": 87.82,
|
| 2778 |
+
"learning_rate": 2.2367047705819572e-06,
|
| 2779 |
+
"loss": 0.0097,
|
| 2780 |
+
"step": 71750
|
| 2781 |
+
},
|
| 2782 |
+
{
|
| 2783 |
+
"epoch": 88.0,
|
| 2784 |
+
"eval_accuracy": 0.6859504132231405,
|
| 2785 |
+
"eval_f1": 0.4890889302500872,
|
| 2786 |
+
"eval_loss": 2.9936180114746094,
|
| 2787 |
+
"eval_precision": 0.5928653178112443,
|
| 2788 |
+
"eval_recall": 0.44590630018585686,
|
| 2789 |
+
"eval_runtime": 0.5751,
|
| 2790 |
+
"eval_samples_per_second": 631.226,
|
| 2791 |
+
"eval_steps_per_second": 79.99,
|
| 2792 |
+
"step": 71896
|
| 2793 |
+
},
|
| 2794 |
+
{
|
| 2795 |
+
"epoch": 88.13,
|
| 2796 |
+
"learning_rate": 2.127603437677139e-06,
|
| 2797 |
+
"loss": 0.0083,
|
| 2798 |
+
"step": 72000
|
| 2799 |
+
},
|
| 2800 |
+
{
|
| 2801 |
+
"epoch": 88.43,
|
| 2802 |
+
"learning_rate": 2.0211116100162435e-06,
|
| 2803 |
+
"loss": 0.0124,
|
| 2804 |
+
"step": 72250
|
| 2805 |
+
},
|
| 2806 |
+
{
|
| 2807 |
+
"epoch": 88.74,
|
| 2808 |
+
"learning_rate": 1.9172414372217146e-06,
|
| 2809 |
+
"loss": 0.0086,
|
| 2810 |
+
"step": 72500
|
| 2811 |
+
},
|
| 2812 |
+
{
|
| 2813 |
+
"epoch": 89.0,
|
| 2814 |
+
"eval_accuracy": 0.6831955922865014,
|
| 2815 |
+
"eval_f1": 0.49100657070581877,
|
| 2816 |
+
"eval_loss": 3.0106709003448486,
|
| 2817 |
+
"eval_precision": 0.5958884973599873,
|
| 2818 |
+
"eval_recall": 0.44583543850785234,
|
| 2819 |
+
"eval_runtime": 0.5744,
|
| 2820 |
+
"eval_samples_per_second": 631.965,
|
| 2821 |
+
"eval_steps_per_second": 80.084,
|
| 2822 |
+
"step": 72713
|
| 2823 |
+
},
|
| 2824 |
+
{
|
| 2825 |
+
"epoch": 89.05,
|
| 2826 |
+
"learning_rate": 1.8160047698121518e-06,
|
| 2827 |
+
"loss": 0.0104,
|
| 2828 |
+
"step": 72750
|
| 2829 |
+
},
|
| 2830 |
+
{
|
| 2831 |
+
"epoch": 89.35,
|
| 2832 |
+
"learning_rate": 1.7178022403391475e-06,
|
| 2833 |
+
"loss": 0.0108,
|
| 2834 |
+
"step": 73000
|
| 2835 |
+
},
|
| 2836 |
+
{
|
| 2837 |
+
"epoch": 89.66,
|
| 2838 |
+
"learning_rate": 1.6218562848936775e-06,
|
| 2839 |
+
"loss": 0.0174,
|
| 2840 |
+
"step": 73250
|
| 2841 |
+
},
|
| 2842 |
+
{
|
| 2843 |
+
"epoch": 89.96,
|
| 2844 |
+
"learning_rate": 1.528577535241521e-06,
|
| 2845 |
+
"loss": 0.0072,
|
| 2846 |
+
"step": 73500
|
| 2847 |
+
},
|
| 2848 |
+
{
|
| 2849 |
+
"epoch": 90.0,
|
| 2850 |
+
"eval_accuracy": 0.6859504132231405,
|
| 2851 |
+
"eval_f1": 0.4893894643187819,
|
| 2852 |
+
"eval_loss": 3.0227720737457275,
|
| 2853 |
+
"eval_precision": 0.5889153512253815,
|
| 2854 |
+
"eval_recall": 0.4449414911853336,
|
| 2855 |
+
"eval_runtime": 0.5765,
|
| 2856 |
+
"eval_samples_per_second": 629.693,
|
| 2857 |
+
"eval_steps_per_second": 79.796,
|
| 2858 |
+
"step": 73530
|
| 2859 |
+
},
|
| 2860 |
+
{
|
| 2861 |
+
"epoch": 90.27,
|
| 2862 |
+
"learning_rate": 1.4383336890610749e-06,
|
| 2863 |
+
"loss": 0.0151,
|
| 2864 |
+
"step": 73750
|
| 2865 |
+
},
|
| 2866 |
+
{
|
| 2867 |
+
"epoch": 90.58,
|
| 2868 |
+
"learning_rate": 1.3504101989962132e-06,
|
| 2869 |
+
"loss": 0.0109,
|
| 2870 |
+
"step": 74000
|
| 2871 |
+
},
|
| 2872 |
+
{
|
| 2873 |
+
"epoch": 90.88,
|
| 2874 |
+
"learning_rate": 1.2651848839316887e-06,
|
| 2875 |
+
"loss": 0.0107,
|
| 2876 |
+
"step": 74250
|
| 2877 |
+
},
|
| 2878 |
+
{
|
| 2879 |
+
"epoch": 91.0,
|
| 2880 |
+
"eval_accuracy": 0.6887052341597796,
|
| 2881 |
+
"eval_f1": 0.49676183815019276,
|
| 2882 |
+
"eval_loss": 2.977621078491211,
|
| 2883 |
+
"eval_precision": 0.5930682617874735,
|
| 2884 |
+
"eval_recall": 0.45364507208719035,
|
| 2885 |
+
"eval_runtime": 0.5751,
|
| 2886 |
+
"eval_samples_per_second": 631.186,
|
| 2887 |
+
"eval_steps_per_second": 79.985,
|
| 2888 |
+
"step": 74347
|
| 2889 |
+
},
|
| 2890 |
+
{
|
| 2891 |
+
"epoch": 91.19,
|
| 2892 |
+
"learning_rate": 1.182667467199558e-06,
|
| 2893 |
+
"loss": 0.0081,
|
| 2894 |
+
"step": 74500
|
| 2895 |
+
},
|
| 2896 |
+
{
|
| 2897 |
+
"epoch": 91.49,
|
| 2898 |
+
"learning_rate": 1.1028673631885173e-06,
|
| 2899 |
+
"loss": 0.0136,
|
| 2900 |
+
"step": 74750
|
| 2901 |
+
},
|
| 2902 |
+
{
|
| 2903 |
+
"epoch": 91.8,
|
| 2904 |
+
"learning_rate": 1.0257936762698288e-06,
|
| 2905 |
+
"loss": 0.0105,
|
| 2906 |
+
"step": 75000
|
| 2907 |
+
},
|
| 2908 |
+
{
|
| 2909 |
+
"epoch": 92.0,
|
| 2910 |
+
"eval_accuracy": 0.6887052341597796,
|
| 2911 |
+
"eval_f1": 0.4999633782778992,
|
| 2912 |
+
"eval_loss": 3.0019350051879883,
|
| 2913 |
+
"eval_precision": 0.5966416670279332,
|
| 2914 |
+
"eval_recall": 0.4551455728179866,
|
| 2915 |
+
"eval_runtime": 0.5756,
|
| 2916 |
+
"eval_samples_per_second": 630.598,
|
| 2917 |
+
"eval_steps_per_second": 79.91,
|
| 2918 |
+
"step": 75164
|
| 2919 |
+
},
|
| 2920 |
+
{
|
| 2921 |
+
"epoch": 92.11,
|
| 2922 |
+
"learning_rate": 9.514551997585913e-07,
|
| 2923 |
+
"loss": 0.0061,
|
| 2924 |
+
"step": 75250
|
| 2925 |
+
},
|
| 2926 |
+
{
|
| 2927 |
+
"epoch": 92.41,
|
| 2928 |
+
"learning_rate": 8.798604149105355e-07,
|
| 2929 |
+
"loss": 0.0094,
|
| 2930 |
+
"step": 75500
|
| 2931 |
+
},
|
| 2932 |
+
{
|
| 2933 |
+
"epoch": 92.72,
|
| 2934 |
+
"learning_rate": 8.110174899543743e-07,
|
| 2935 |
+
"loss": 0.0138,
|
| 2936 |
+
"step": 75750
|
| 2937 |
+
},
|
| 2938 |
+
{
|
| 2939 |
+
"epoch": 93.0,
|
| 2940 |
+
"eval_accuracy": 0.6887052341597796,
|
| 2941 |
+
"eval_f1": 0.4999633782778992,
|
| 2942 |
+
"eval_loss": 3.0192649364471436,
|
| 2943 |
+
"eval_precision": 0.5966416670279332,
|
| 2944 |
+
"eval_recall": 0.4551455728179866,
|
| 2945 |
+
"eval_runtime": 0.5738,
|
| 2946 |
+
"eval_samples_per_second": 632.575,
|
| 2947 |
+
"eval_steps_per_second": 80.161,
|
| 2948 |
+
"step": 75981
|
| 2949 |
+
},
|
| 2950 |
+
{
|
| 2951 |
+
"epoch": 93.02,
|
| 2952 |
+
"learning_rate": 7.449342791599201e-07,
|
| 2953 |
+
"loss": 0.0106,
|
| 2954 |
+
"step": 76000
|
| 2955 |
+
},
|
| 2956 |
+
{
|
| 2957 |
+
"epoch": 93.33,
|
| 2958 |
+
"learning_rate": 6.81618321941968e-07,
|
| 2959 |
+
"loss": 0.0107,
|
| 2960 |
+
"step": 76250
|
| 2961 |
+
},
|
| 2962 |
+
{
|
| 2963 |
+
"epoch": 93.64,
|
| 2964 |
+
"learning_rate": 6.210768420001373e-07,
|
| 2965 |
+
"loss": 0.0081,
|
| 2966 |
+
"step": 76500
|
| 2967 |
+
},
|
| 2968 |
+
{
|
| 2969 |
+
"epoch": 93.94,
|
| 2970 |
+
"learning_rate": 5.633167464947242e-07,
|
| 2971 |
+
"loss": 0.0123,
|
| 2972 |
+
"step": 76750
|
| 2973 |
+
},
|
| 2974 |
+
{
|
| 2975 |
+
"epoch": 94.0,
|
| 2976 |
+
"eval_accuracy": 0.6859504132231405,
|
| 2977 |
+
"eval_f1": 0.48841087906946806,
|
| 2978 |
+
"eval_loss": 3.0272629261016846,
|
| 2979 |
+
"eval_precision": 0.5842731342731343,
|
| 2980 |
+
"eval_recall": 0.4449414911853336,
|
| 2981 |
+
"eval_runtime": 0.5754,
|
| 2982 |
+
"eval_samples_per_second": 630.882,
|
| 2983 |
+
"eval_steps_per_second": 79.946,
|
| 2984 |
+
"step": 76798
|
| 2985 |
+
},
|
| 2986 |
+
{
|
| 2987 |
+
"epoch": 94.25,
|
| 2988 |
+
"learning_rate": 5.08344625258661e-07,
|
| 2989 |
+
"loss": 0.0113,
|
| 2990 |
+
"step": 77000
|
| 2991 |
+
},
|
| 2992 |
+
{
|
| 2993 |
+
"epoch": 94.55,
|
| 2994 |
+
"learning_rate": 4.561667500456862e-07,
|
| 2995 |
+
"loss": 0.0064,
|
| 2996 |
+
"step": 77250
|
| 2997 |
+
},
|
| 2998 |
+
{
|
| 2999 |
+
"epoch": 94.86,
|
| 3000 |
+
"learning_rate": 4.067890738147978e-07,
|
| 3001 |
+
"loss": 0.0114,
|
| 3002 |
+
"step": 77500
|
| 3003 |
+
},
|
| 3004 |
+
{
|
| 3005 |
+
"epoch": 95.0,
|
| 3006 |
+
"eval_accuracy": 0.6859504132231405,
|
| 3007 |
+
"eval_f1": 0.49834117213459417,
|
| 3008 |
+
"eval_loss": 3.0193073749542236,
|
| 3009 |
+
"eval_precision": 0.592981803003125,
|
| 3010 |
+
"eval_recall": 0.45445875963117344,
|
| 3011 |
+
"eval_runtime": 0.5755,
|
| 3012 |
+
"eval_samples_per_second": 630.739,
|
| 3013 |
+
"eval_steps_per_second": 79.928,
|
| 3014 |
+
"step": 77615
|
| 3015 |
+
},
|
| 3016 |
+
{
|
| 3017 |
+
"epoch": 95.17,
|
| 3018 |
+
"learning_rate": 3.6021723005109365e-07,
|
| 3019 |
+
"loss": 0.013,
|
| 3020 |
+
"step": 77750
|
| 3021 |
+
},
|
| 3022 |
+
{
|
| 3023 |
+
"epoch": 95.47,
|
| 3024 |
+
"learning_rate": 3.1645653212303004e-07,
|
| 3025 |
+
"loss": 0.0127,
|
| 3026 |
+
"step": 78000
|
| 3027 |
+
},
|
| 3028 |
+
{
|
| 3029 |
+
"epoch": 95.78,
|
| 3030 |
+
"learning_rate": 2.755119726762373e-07,
|
| 3031 |
+
"loss": 0.0087,
|
| 3032 |
+
"step": 78250
|
| 3033 |
+
},
|
| 3034 |
+
{
|
| 3035 |
+
"epoch": 96.0,
|
| 3036 |
+
"eval_accuracy": 0.6859504132231405,
|
| 3037 |
+
"eval_f1": 0.4971705409799476,
|
| 3038 |
+
"eval_loss": 3.0252628326416016,
|
| 3039 |
+
"eval_precision": 0.5904316041796341,
|
| 3040 |
+
"eval_recall": 0.45445875963117344,
|
| 3041 |
+
"eval_runtime": 0.5748,
|
| 3042 |
+
"eval_samples_per_second": 631.48,
|
| 3043 |
+
"eval_steps_per_second": 80.022,
|
| 3044 |
+
"step": 78432
|
| 3045 |
+
},
|
| 3046 |
+
{
|
| 3047 |
+
"epoch": 96.08,
|
| 3048 |
+
"learning_rate": 2.3738822306390575e-07,
|
| 3049 |
+
"loss": 0.0076,
|
| 3050 |
+
"step": 78500
|
| 3051 |
+
},
|
| 3052 |
+
{
|
| 3053 |
+
"epoch": 96.39,
|
| 3054 |
+
"learning_rate": 2.0208963281382054e-07,
|
| 3055 |
+
"loss": 0.0059,
|
| 3056 |
+
"step": 78750
|
| 3057 |
+
},
|
| 3058 |
+
{
|
| 3059 |
+
"epoch": 96.7,
|
| 3060 |
+
"learning_rate": 1.6962022913215026e-07,
|
| 3061 |
+
"loss": 0.0112,
|
| 3062 |
+
"step": 79000
|
| 3063 |
+
},
|
| 3064 |
+
{
|
| 3065 |
+
"epoch": 97.0,
|
| 3066 |
+
"eval_accuracy": 0.6859504132231405,
|
| 3067 |
+
"eval_f1": 0.4971705409799476,
|
| 3068 |
+
"eval_loss": 3.0260462760925293,
|
| 3069 |
+
"eval_precision": 0.5904316041796341,
|
| 3070 |
+
"eval_recall": 0.45445875963117344,
|
| 3071 |
+
"eval_runtime": 0.575,
|
| 3072 |
+
"eval_samples_per_second": 631.313,
|
| 3073 |
+
"eval_steps_per_second": 80.001,
|
| 3074 |
+
"step": 79249
|
| 3075 |
+
},
|
| 3076 |
+
{
|
| 3077 |
+
"epoch": 97.0,
|
| 3078 |
+
"learning_rate": 1.399837164439588e-07,
|
| 3079 |
+
"loss": 0.0198,
|
| 3080 |
+
"step": 79250
|
| 3081 |
+
},
|
| 3082 |
+
{
|
| 3083 |
+
"epoch": 97.31,
|
| 3084 |
+
"learning_rate": 1.131834759705852e-07,
|
| 3085 |
+
"loss": 0.0108,
|
| 3086 |
+
"step": 79500
|
| 3087 |
+
},
|
| 3088 |
+
{
|
| 3089 |
+
"epoch": 97.61,
|
| 3090 |
+
"learning_rate": 8.922256534386886e-08,
|
| 3091 |
+
"loss": 0.0096,
|
| 3092 |
+
"step": 79750
|
| 3093 |
+
},
|
| 3094 |
+
{
|
| 3095 |
+
"epoch": 97.92,
|
| 3096 |
+
"learning_rate": 6.818252895382516e-08,
|
| 3097 |
+
"loss": 0.0154,
|
| 3098 |
+
"step": 80000
|
| 3099 |
+
},
|
| 3100 |
+
{
|
| 3101 |
+
"epoch": 98.0,
|
| 3102 |
+
"eval_accuracy": 0.6859504132231405,
|
| 3103 |
+
"eval_f1": 0.4971705409799476,
|
| 3104 |
+
"eval_loss": 3.032817840576172,
|
| 3105 |
+
"eval_precision": 0.5904316041796341,
|
| 3106 |
+
"eval_recall": 0.45445875963117344,
|
| 3107 |
+
"eval_runtime": 0.5745,
|
| 3108 |
+
"eval_samples_per_second": 631.834,
|
| 3109 |
+
"eval_steps_per_second": 80.067,
|
| 3110 |
+
"step": 80066
|
| 3111 |
+
},
|
| 3112 |
+
{
|
| 3113 |
+
"epoch": 98.23,
|
| 3114 |
+
"learning_rate": 4.989677258919745e-08,
|
| 3115 |
+
"loss": 0.0066,
|
| 3116 |
+
"step": 80250
|
| 3117 |
+
},
|
| 3118 |
+
{
|
| 3119 |
+
"epoch": 98.53,
|
| 3120 |
+
"learning_rate": 3.4457566433288015e-08,
|
| 3121 |
+
"loss": 0.0089,
|
| 3122 |
+
"step": 80500
|
| 3123 |
+
},
|
| 3124 |
+
{
|
| 3125 |
+
"epoch": 98.84,
|
| 3126 |
+
"learning_rate": 2.1866671940751205e-08,
|
| 3127 |
+
"loss": 0.0113,
|
| 3128 |
+
"step": 80750
|
| 3129 |
+
},
|
| 3130 |
+
{
|
| 3131 |
+
"epoch": 99.0,
|
| 3132 |
+
"eval_accuracy": 0.6859504132231405,
|
| 3133 |
+
"eval_f1": 0.4971705409799476,
|
| 3134 |
+
"eval_loss": 3.0352275371551514,
|
| 3135 |
+
"eval_precision": 0.5904316041796341,
|
| 3136 |
+
"eval_recall": 0.45445875963117344,
|
| 3137 |
+
"eval_runtime": 0.5755,
|
| 3138 |
+
"eval_samples_per_second": 630.795,
|
| 3139 |
+
"eval_steps_per_second": 79.935,
|
| 3140 |
+
"step": 80883
|
| 3141 |
+
},
|
| 3142 |
+
{
|
| 3143 |
+
"epoch": 99.14,
|
| 3144 |
+
"learning_rate": 1.212552560317659e-08,
|
| 3145 |
+
"loss": 0.0052,
|
| 3146 |
+
"step": 81000
|
| 3147 |
+
},
|
| 3148 |
+
{
|
| 3149 |
+
"epoch": 99.45,
|
| 3150 |
+
"learning_rate": 5.235238785186725e-09,
|
| 3151 |
+
"loss": 0.0124,
|
| 3152 |
+
"step": 81250
|
| 3153 |
+
},
|
| 3154 |
+
{
|
| 3155 |
+
"epoch": 99.76,
|
| 3156 |
+
"learning_rate": 1.1965975976552247e-09,
|
| 3157 |
+
"loss": 0.0094,
|
| 3158 |
+
"step": 81500
|
| 3159 |
+
},
|
| 3160 |
+
{
|
| 3161 |
+
"epoch": 100.0,
|
| 3162 |
+
"eval_accuracy": 0.6859504132231405,
|
| 3163 |
+
"eval_f1": 0.4971705409799476,
|
| 3164 |
+
"eval_loss": 3.034996271133423,
|
| 3165 |
+
"eval_precision": 0.5904316041796341,
|
| 3166 |
+
"eval_recall": 0.45445875963117344,
|
| 3167 |
+
"eval_runtime": 0.5749,
|
| 3168 |
+
"eval_samples_per_second": 631.447,
|
| 3169 |
+
"eval_steps_per_second": 80.018,
|
| 3170 |
+
"step": 81700
|
| 3171 |
+
},
|
| 3172 |
+
{
|
| 3173 |
+
"epoch": 100.0,
|
| 3174 |
+
"step": 81700,
|
| 3175 |
+
"total_flos": 2.247320628668568e+16,
|
| 3176 |
+
"train_loss": 0.19591666076364248,
|
| 3177 |
+
"train_runtime": 5839.9501,
|
| 3178 |
+
"train_samples_per_second": 111.885,
|
| 3179 |
+
"train_steps_per_second": 13.99
|
| 3180 |
+
}
|
| 3181 |
+
],
|
| 3182 |
+
"max_steps": 81700,
|
| 3183 |
+
"num_train_epochs": 100,
|
| 3184 |
+
"total_flos": 2.247320628668568e+16,
|
| 3185 |
+
"trial_name": null,
|
| 3186 |
+
"trial_params": {
|
| 3187 |
+
"learning_rate": 5e-06
|
| 3188 |
+
}
|
| 3189 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2d122769bd01b7c3c05639627de322a35ada8628020b07b1f86a5177d7c27a3f
|
| 3 |
+
size 3375
|