Training in progress, step 4800, checkpoint
Browse files- checkpoint-4800/config.json +56 -0
- checkpoint-4800/model.safetensors +3 -0
- checkpoint-4800/optimizer.pt +3 -0
- checkpoint-4800/rng_state.pth +3 -0
- checkpoint-4800/scheduler.pt +3 -0
- checkpoint-4800/special_tokens_map.json +51 -0
- checkpoint-4800/tokenizer.json +3 -0
- checkpoint-4800/tokenizer_config.json +54 -0
- checkpoint-4800/trainer_state.json +649 -0
- checkpoint-4800/training_args.bin +3 -0
checkpoint-4800/config.json
ADDED
|
@@ -0,0 +1,56 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "zwaarcontrast/lilt-xlm-roberta-base",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"LiltForTokenClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.1,
|
| 7 |
+
"bos_token_id": 0,
|
| 8 |
+
"channel_shrink_ratio": 4,
|
| 9 |
+
"classifier_dropout": null,
|
| 10 |
+
"eos_token_id": 2,
|
| 11 |
+
"hidden_act": "gelu",
|
| 12 |
+
"hidden_dropout_prob": 0.1,
|
| 13 |
+
"hidden_size": 768,
|
| 14 |
+
"id2label": {
|
| 15 |
+
"0": "Caption",
|
| 16 |
+
"1": "Footnote",
|
| 17 |
+
"2": "Formula",
|
| 18 |
+
"3": "List-item",
|
| 19 |
+
"4": "Page-footer",
|
| 20 |
+
"5": "Page-header",
|
| 21 |
+
"6": "Picture",
|
| 22 |
+
"7": "Section-header",
|
| 23 |
+
"8": "Table",
|
| 24 |
+
"9": "Text",
|
| 25 |
+
"10": "Title"
|
| 26 |
+
},
|
| 27 |
+
"initializer_range": 0.02,
|
| 28 |
+
"intermediate_size": 3072,
|
| 29 |
+
"label2id": {
|
| 30 |
+
"Caption": 0,
|
| 31 |
+
"Footnote": 1,
|
| 32 |
+
"Formula": 2,
|
| 33 |
+
"List-item": 3,
|
| 34 |
+
"Page-footer": 4,
|
| 35 |
+
"Page-header": 5,
|
| 36 |
+
"Picture": 6,
|
| 37 |
+
"Section-header": 7,
|
| 38 |
+
"Table": 8,
|
| 39 |
+
"Text": 9,
|
| 40 |
+
"Title": 10
|
| 41 |
+
},
|
| 42 |
+
"layer_norm_eps": 1e-05,
|
| 43 |
+
"max_2d_position_embeddings": 1024,
|
| 44 |
+
"max_position_embeddings": 514,
|
| 45 |
+
"model_type": "lilt",
|
| 46 |
+
"num_attention_heads": 12,
|
| 47 |
+
"num_hidden_layers": 12,
|
| 48 |
+
"output_past": true,
|
| 49 |
+
"pad_token_id": 1,
|
| 50 |
+
"position_embedding_type": "absolute",
|
| 51 |
+
"torch_dtype": "float32",
|
| 52 |
+
"transformers_version": "4.35.2",
|
| 53 |
+
"type_vocab_size": 1,
|
| 54 |
+
"use_cache": true,
|
| 55 |
+
"vocab_size": 250002
|
| 56 |
+
}
|
checkpoint-4800/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bf96cb4d9683ac2c85fb139dcca7e845f7d430270d692f1249b75fe65d2f4ead
|
| 3 |
+
size 1134332228
|
checkpoint-4800/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:afd11bec2714a4855c94e2d253e646dd2527636516e1238a0010a5ab6cb28c76
|
| 3 |
+
size 2265924830
|
checkpoint-4800/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9eb6b52c485d17dd3f00ee52a0a46691eb7bb3d1ec3fe1e444c2b09a5a0ca334
|
| 3 |
+
size 14244
|
checkpoint-4800/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0148bc05146219c5b3f8d75be4b5ab2a0c1e0383a17b7bfd5898a859caa54041
|
| 3 |
+
size 1064
|
checkpoint-4800/special_tokens_map.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"cls_token": {
|
| 10 |
+
"content": "<s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"eos_token": {
|
| 17 |
+
"content": "</s>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"mask_token": {
|
| 24 |
+
"content": "<mask>",
|
| 25 |
+
"lstrip": true,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"pad_token": {
|
| 31 |
+
"content": "<pad>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
},
|
| 37 |
+
"sep_token": {
|
| 38 |
+
"content": "</s>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false
|
| 43 |
+
},
|
| 44 |
+
"unk_token": {
|
| 45 |
+
"content": "<unk>",
|
| 46 |
+
"lstrip": false,
|
| 47 |
+
"normalized": false,
|
| 48 |
+
"rstrip": false,
|
| 49 |
+
"single_word": false
|
| 50 |
+
}
|
| 51 |
+
}
|
checkpoint-4800/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f59925fcb90c92b894cb93e51bb9b4a6105c5c249fe54ce1c704420ac39b81af
|
| 3 |
+
size 17082756
|
checkpoint-4800/tokenizer_config.json
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "<s>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "<pad>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "</s>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"3": {
|
| 28 |
+
"content": "<unk>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"250001": {
|
| 36 |
+
"content": "<mask>",
|
| 37 |
+
"lstrip": true,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"bos_token": "<s>",
|
| 45 |
+
"clean_up_tokenization_spaces": true,
|
| 46 |
+
"cls_token": "<s>",
|
| 47 |
+
"eos_token": "</s>",
|
| 48 |
+
"mask_token": "<mask>",
|
| 49 |
+
"model_max_length": 512,
|
| 50 |
+
"pad_token": "<pad>",
|
| 51 |
+
"sep_token": "</s>",
|
| 52 |
+
"tokenizer_class": "XLMRobertaTokenizer",
|
| 53 |
+
"unk_token": "<unk>"
|
| 54 |
+
}
|
checkpoint-4800/trainer_state.json
ADDED
|
@@ -0,0 +1,649 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.8966457253905286,
|
| 3 |
+
"best_model_checkpoint": "DocLayNet/lilt-xlm-roberta-base-finetuned-DocLayNet-large_paragraphs_ml512-v1\\checkpoint-3300",
|
| 4 |
+
"epoch": 0.2548041193332626,
|
| 5 |
+
"eval_steps": 100,
|
| 6 |
+
"global_step": 4800,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.01,
|
| 13 |
+
"eval_accuracy": 0.7151480521438768,
|
| 14 |
+
"eval_f1": 0.7151480521438768,
|
| 15 |
+
"eval_loss": 0.8854337930679321,
|
| 16 |
+
"eval_precision": 0.7151480521438768,
|
| 17 |
+
"eval_recall": 0.7151480521438768,
|
| 18 |
+
"eval_runtime": 178.7293,
|
| 19 |
+
"eval_samples_per_second": 89.291,
|
| 20 |
+
"eval_steps_per_second": 5.584,
|
| 21 |
+
"step": 100
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.01,
|
| 25 |
+
"eval_accuracy": 0.7820361348614215,
|
| 26 |
+
"eval_f1": 0.7820361348614215,
|
| 27 |
+
"eval_loss": 0.6539337038993835,
|
| 28 |
+
"eval_precision": 0.7820361348614215,
|
| 29 |
+
"eval_recall": 0.7820361348614215,
|
| 30 |
+
"eval_runtime": 180.7707,
|
| 31 |
+
"eval_samples_per_second": 88.283,
|
| 32 |
+
"eval_steps_per_second": 5.521,
|
| 33 |
+
"step": 200
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 0.02,
|
| 37 |
+
"eval_accuracy": 0.7994587607645203,
|
| 38 |
+
"eval_f1": 0.7994587607645203,
|
| 39 |
+
"eval_loss": 0.6309346556663513,
|
| 40 |
+
"eval_precision": 0.7994587607645203,
|
| 41 |
+
"eval_recall": 0.7994587607645203,
|
| 42 |
+
"eval_runtime": 181.7301,
|
| 43 |
+
"eval_samples_per_second": 87.817,
|
| 44 |
+
"eval_steps_per_second": 5.492,
|
| 45 |
+
"step": 300
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.02,
|
| 49 |
+
"eval_accuracy": 0.7618061280264906,
|
| 50 |
+
"eval_f1": 0.7618061280264905,
|
| 51 |
+
"eval_loss": 0.6511958837509155,
|
| 52 |
+
"eval_precision": 0.7618061280264906,
|
| 53 |
+
"eval_recall": 0.7618061280264906,
|
| 54 |
+
"eval_runtime": 180.2148,
|
| 55 |
+
"eval_samples_per_second": 88.555,
|
| 56 |
+
"eval_steps_per_second": 5.538,
|
| 57 |
+
"step": 400
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 0.03,
|
| 61 |
+
"learning_rate": 1.9473404820044594e-05,
|
| 62 |
+
"loss": 0.7733,
|
| 63 |
+
"step": 500
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"epoch": 0.03,
|
| 67 |
+
"eval_accuracy": 0.8603838870222617,
|
| 68 |
+
"eval_f1": 0.8603838870222617,
|
| 69 |
+
"eval_loss": 0.45408895611763,
|
| 70 |
+
"eval_precision": 0.8603838870222617,
|
| 71 |
+
"eval_recall": 0.8603838870222617,
|
| 72 |
+
"eval_runtime": 179.2793,
|
| 73 |
+
"eval_samples_per_second": 89.018,
|
| 74 |
+
"eval_steps_per_second": 5.567,
|
| 75 |
+
"step": 500
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 0.03,
|
| 79 |
+
"eval_accuracy": 0.8186640239589626,
|
| 80 |
+
"eval_f1": 0.8186640239589626,
|
| 81 |
+
"eval_loss": 0.588881254196167,
|
| 82 |
+
"eval_precision": 0.8186640239589626,
|
| 83 |
+
"eval_recall": 0.8186640239589626,
|
| 84 |
+
"eval_runtime": 178.9676,
|
| 85 |
+
"eval_samples_per_second": 89.173,
|
| 86 |
+
"eval_steps_per_second": 5.576,
|
| 87 |
+
"step": 600
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.04,
|
| 91 |
+
"eval_accuracy": 0.8374099877288685,
|
| 92 |
+
"eval_f1": 0.8374099877288685,
|
| 93 |
+
"eval_loss": 0.5701665878295898,
|
| 94 |
+
"eval_precision": 0.8374099877288685,
|
| 95 |
+
"eval_recall": 0.8374099877288685,
|
| 96 |
+
"eval_runtime": 179.5722,
|
| 97 |
+
"eval_samples_per_second": 88.872,
|
| 98 |
+
"eval_steps_per_second": 5.558,
|
| 99 |
+
"step": 700
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 0.04,
|
| 103 |
+
"eval_accuracy": 0.8645771022868747,
|
| 104 |
+
"eval_f1": 0.8645771022868747,
|
| 105 |
+
"eval_loss": 0.45831653475761414,
|
| 106 |
+
"eval_precision": 0.8645771022868747,
|
| 107 |
+
"eval_recall": 0.8645771022868747,
|
| 108 |
+
"eval_runtime": 178.4787,
|
| 109 |
+
"eval_samples_per_second": 89.417,
|
| 110 |
+
"eval_steps_per_second": 5.592,
|
| 111 |
+
"step": 800
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 0.05,
|
| 115 |
+
"eval_accuracy": 0.8684816433991331,
|
| 116 |
+
"eval_f1": 0.8684816433991331,
|
| 117 |
+
"eval_loss": 0.4440499544143677,
|
| 118 |
+
"eval_precision": 0.8684816433991331,
|
| 119 |
+
"eval_recall": 0.8684816433991331,
|
| 120 |
+
"eval_runtime": 179.4524,
|
| 121 |
+
"eval_samples_per_second": 88.932,
|
| 122 |
+
"eval_steps_per_second": 5.561,
|
| 123 |
+
"step": 900
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 0.05,
|
| 127 |
+
"learning_rate": 1.894256290476696e-05,
|
| 128 |
+
"loss": 0.4221,
|
| 129 |
+
"step": 1000
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.05,
|
| 133 |
+
"eval_accuracy": 0.8310532043326915,
|
| 134 |
+
"eval_f1": 0.8310532043326915,
|
| 135 |
+
"eval_loss": 0.49495837092399597,
|
| 136 |
+
"eval_precision": 0.8310532043326915,
|
| 137 |
+
"eval_recall": 0.8310532043326915,
|
| 138 |
+
"eval_runtime": 177.3364,
|
| 139 |
+
"eval_samples_per_second": 89.993,
|
| 140 |
+
"eval_steps_per_second": 5.628,
|
| 141 |
+
"step": 1000
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 0.06,
|
| 145 |
+
"eval_accuracy": 0.8420863105955319,
|
| 146 |
+
"eval_f1": 0.8420863105955319,
|
| 147 |
+
"eval_loss": 0.563329815864563,
|
| 148 |
+
"eval_precision": 0.8420863105955319,
|
| 149 |
+
"eval_recall": 0.8420863105955319,
|
| 150 |
+
"eval_runtime": 177.8626,
|
| 151 |
+
"eval_samples_per_second": 89.727,
|
| 152 |
+
"eval_steps_per_second": 5.611,
|
| 153 |
+
"step": 1100
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 0.06,
|
| 157 |
+
"eval_accuracy": 0.850556069746056,
|
| 158 |
+
"eval_f1": 0.850556069746056,
|
| 159 |
+
"eval_loss": 0.4411052465438843,
|
| 160 |
+
"eval_precision": 0.850556069746056,
|
| 161 |
+
"eval_recall": 0.850556069746056,
|
| 162 |
+
"eval_runtime": 177.3605,
|
| 163 |
+
"eval_samples_per_second": 89.981,
|
| 164 |
+
"eval_steps_per_second": 5.627,
|
| 165 |
+
"step": 1200
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 0.07,
|
| 169 |
+
"eval_accuracy": 0.8742392543278803,
|
| 170 |
+
"eval_f1": 0.8742392543278803,
|
| 171 |
+
"eval_loss": 0.4354064464569092,
|
| 172 |
+
"eval_precision": 0.8742392543278803,
|
| 173 |
+
"eval_recall": 0.8742392543278803,
|
| 174 |
+
"eval_runtime": 177.2446,
|
| 175 |
+
"eval_samples_per_second": 90.039,
|
| 176 |
+
"eval_steps_per_second": 5.631,
|
| 177 |
+
"step": 1300
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.07,
|
| 181 |
+
"eval_accuracy": 0.8777866727774323,
|
| 182 |
+
"eval_f1": 0.8777866727774322,
|
| 183 |
+
"eval_loss": 0.3980981111526489,
|
| 184 |
+
"eval_precision": 0.8777866727774323,
|
| 185 |
+
"eval_recall": 0.8777866727774323,
|
| 186 |
+
"eval_runtime": 177.4209,
|
| 187 |
+
"eval_samples_per_second": 89.95,
|
| 188 |
+
"eval_steps_per_second": 5.625,
|
| 189 |
+
"step": 1400
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 0.08,
|
| 193 |
+
"learning_rate": 1.8412782673319888e-05,
|
| 194 |
+
"loss": 0.3623,
|
| 195 |
+
"step": 1500
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 0.08,
|
| 199 |
+
"eval_accuracy": 0.8690242714449679,
|
| 200 |
+
"eval_f1": 0.8690242714449679,
|
| 201 |
+
"eval_loss": 0.42456910014152527,
|
| 202 |
+
"eval_precision": 0.8690242714449679,
|
| 203 |
+
"eval_recall": 0.8690242714449679,
|
| 204 |
+
"eval_runtime": 177.8504,
|
| 205 |
+
"eval_samples_per_second": 89.733,
|
| 206 |
+
"eval_steps_per_second": 5.611,
|
| 207 |
+
"step": 1500
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 0.08,
|
| 211 |
+
"eval_accuracy": 0.8831891450582655,
|
| 212 |
+
"eval_f1": 0.8831891450582655,
|
| 213 |
+
"eval_loss": 0.4083055853843689,
|
| 214 |
+
"eval_precision": 0.8831891450582655,
|
| 215 |
+
"eval_recall": 0.8831891450582655,
|
| 216 |
+
"eval_runtime": 177.1688,
|
| 217 |
+
"eval_samples_per_second": 90.078,
|
| 218 |
+
"eval_steps_per_second": 5.633,
|
| 219 |
+
"step": 1600
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.09,
|
| 223 |
+
"eval_accuracy": 0.8346978395070913,
|
| 224 |
+
"eval_f1": 0.8346978395070913,
|
| 225 |
+
"eval_loss": 0.5854523181915283,
|
| 226 |
+
"eval_precision": 0.8346978395070913,
|
| 227 |
+
"eval_recall": 0.8346978395070913,
|
| 228 |
+
"eval_runtime": 177.5366,
|
| 229 |
+
"eval_samples_per_second": 89.891,
|
| 230 |
+
"eval_steps_per_second": 5.621,
|
| 231 |
+
"step": 1700
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"epoch": 0.1,
|
| 235 |
+
"eval_accuracy": 0.8867871558850343,
|
| 236 |
+
"eval_f1": 0.8867871558850343,
|
| 237 |
+
"eval_loss": 0.39148494601249695,
|
| 238 |
+
"eval_precision": 0.8867871558850343,
|
| 239 |
+
"eval_recall": 0.8867871558850343,
|
| 240 |
+
"eval_runtime": 177.8685,
|
| 241 |
+
"eval_samples_per_second": 89.724,
|
| 242 |
+
"eval_steps_per_second": 5.611,
|
| 243 |
+
"step": 1800
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"epoch": 0.1,
|
| 247 |
+
"eval_accuracy": 0.8668835194835213,
|
| 248 |
+
"eval_f1": 0.8668835194835214,
|
| 249 |
+
"eval_loss": 0.44608378410339355,
|
| 250 |
+
"eval_precision": 0.8668835194835213,
|
| 251 |
+
"eval_recall": 0.8668835194835213,
|
| 252 |
+
"eval_runtime": 177.5721,
|
| 253 |
+
"eval_samples_per_second": 89.873,
|
| 254 |
+
"eval_steps_per_second": 5.62,
|
| 255 |
+
"step": 1900
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.11,
|
| 259 |
+
"learning_rate": 1.7881940758042255e-05,
|
| 260 |
+
"loss": 0.3762,
|
| 261 |
+
"step": 2000
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.11,
|
| 265 |
+
"eval_accuracy": 0.8843170574679805,
|
| 266 |
+
"eval_f1": 0.8843170574679804,
|
| 267 |
+
"eval_loss": 0.3827630281448364,
|
| 268 |
+
"eval_precision": 0.8843170574679805,
|
| 269 |
+
"eval_recall": 0.8843170574679805,
|
| 270 |
+
"eval_runtime": 177.7736,
|
| 271 |
+
"eval_samples_per_second": 89.771,
|
| 272 |
+
"eval_steps_per_second": 5.614,
|
| 273 |
+
"step": 2000
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"epoch": 0.11,
|
| 277 |
+
"eval_accuracy": 0.8833111619680236,
|
| 278 |
+
"eval_f1": 0.8833111619680236,
|
| 279 |
+
"eval_loss": 0.41039273142814636,
|
| 280 |
+
"eval_precision": 0.8833111619680236,
|
| 281 |
+
"eval_recall": 0.8833111619680236,
|
| 282 |
+
"eval_runtime": 177.7324,
|
| 283 |
+
"eval_samples_per_second": 89.792,
|
| 284 |
+
"eval_steps_per_second": 5.615,
|
| 285 |
+
"step": 2100
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 0.12,
|
| 289 |
+
"eval_accuracy": 0.8817051019932405,
|
| 290 |
+
"eval_f1": 0.8817051019932405,
|
| 291 |
+
"eval_loss": 0.41124606132507324,
|
| 292 |
+
"eval_precision": 0.8817051019932405,
|
| 293 |
+
"eval_recall": 0.8817051019932405,
|
| 294 |
+
"eval_runtime": 177.9802,
|
| 295 |
+
"eval_samples_per_second": 89.667,
|
| 296 |
+
"eval_steps_per_second": 5.607,
|
| 297 |
+
"step": 2200
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.12,
|
| 301 |
+
"eval_accuracy": 0.8908226419736186,
|
| 302 |
+
"eval_f1": 0.8908226419736186,
|
| 303 |
+
"eval_loss": 0.3715788424015045,
|
| 304 |
+
"eval_precision": 0.8908226419736186,
|
| 305 |
+
"eval_recall": 0.8908226419736186,
|
| 306 |
+
"eval_runtime": 181.2362,
|
| 307 |
+
"eval_samples_per_second": 88.056,
|
| 308 |
+
"eval_steps_per_second": 5.507,
|
| 309 |
+
"step": 2300
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"epoch": 0.13,
|
| 313 |
+
"eval_accuracy": 0.8952380668950267,
|
| 314 |
+
"eval_f1": 0.8952380668950267,
|
| 315 |
+
"eval_loss": 0.38714146614074707,
|
| 316 |
+
"eval_precision": 0.8952380668950267,
|
| 317 |
+
"eval_recall": 0.8952380668950267,
|
| 318 |
+
"eval_runtime": 185.8786,
|
| 319 |
+
"eval_samples_per_second": 85.857,
|
| 320 |
+
"eval_steps_per_second": 5.369,
|
| 321 |
+
"step": 2400
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 0.13,
|
| 325 |
+
"learning_rate": 1.7351098842764628e-05,
|
| 326 |
+
"loss": 0.3049,
|
| 327 |
+
"step": 2500
|
| 328 |
+
},
|
| 329 |
+
{
|
| 330 |
+
"epoch": 0.13,
|
| 331 |
+
"eval_accuracy": 0.8558087489100319,
|
| 332 |
+
"eval_f1": 0.8558087489100319,
|
| 333 |
+
"eval_loss": 0.5354240536689758,
|
| 334 |
+
"eval_precision": 0.8558087489100319,
|
| 335 |
+
"eval_recall": 0.8558087489100319,
|
| 336 |
+
"eval_runtime": 179.1088,
|
| 337 |
+
"eval_samples_per_second": 89.102,
|
| 338 |
+
"eval_steps_per_second": 5.572,
|
| 339 |
+
"step": 2500
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.14,
|
| 343 |
+
"eval_accuracy": 0.8584157443477899,
|
| 344 |
+
"eval_f1": 0.8584157443477899,
|
| 345 |
+
"eval_loss": 0.5085635781288147,
|
| 346 |
+
"eval_precision": 0.8584157443477899,
|
| 347 |
+
"eval_recall": 0.8584157443477899,
|
| 348 |
+
"eval_runtime": 178.0144,
|
| 349 |
+
"eval_samples_per_second": 89.65,
|
| 350 |
+
"eval_steps_per_second": 5.606,
|
| 351 |
+
"step": 2600
|
| 352 |
+
},
|
| 353 |
+
{
|
| 354 |
+
"epoch": 0.14,
|
| 355 |
+
"eval_accuracy": 0.8527087257962596,
|
| 356 |
+
"eval_f1": 0.8527087257962596,
|
| 357 |
+
"eval_loss": 0.5149290561676025,
|
| 358 |
+
"eval_precision": 0.8527087257962596,
|
| 359 |
+
"eval_recall": 0.8527087257962596,
|
| 360 |
+
"eval_runtime": 178.6366,
|
| 361 |
+
"eval_samples_per_second": 89.338,
|
| 362 |
+
"eval_steps_per_second": 5.587,
|
| 363 |
+
"step": 2700
|
| 364 |
+
},
|
| 365 |
+
{
|
| 366 |
+
"epoch": 0.15,
|
| 367 |
+
"eval_accuracy": 0.8276535949852042,
|
| 368 |
+
"eval_f1": 0.8276535949852042,
|
| 369 |
+
"eval_loss": 0.7321985363960266,
|
| 370 |
+
"eval_precision": 0.8276535949852042,
|
| 371 |
+
"eval_recall": 0.8276535949852042,
|
| 372 |
+
"eval_runtime": 180.6283,
|
| 373 |
+
"eval_samples_per_second": 88.353,
|
| 374 |
+
"eval_steps_per_second": 5.525,
|
| 375 |
+
"step": 2800
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 0.15,
|
| 379 |
+
"eval_accuracy": 0.8446089854045952,
|
| 380 |
+
"eval_f1": 0.8446089854045952,
|
| 381 |
+
"eval_loss": 0.5994013547897339,
|
| 382 |
+
"eval_precision": 0.8446089854045952,
|
| 383 |
+
"eval_recall": 0.8446089854045952,
|
| 384 |
+
"eval_runtime": 181.3155,
|
| 385 |
+
"eval_samples_per_second": 88.018,
|
| 386 |
+
"eval_steps_per_second": 5.504,
|
| 387 |
+
"step": 2900
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.16,
|
| 391 |
+
"learning_rate": 1.6820256927486995e-05,
|
| 392 |
+
"loss": 0.272,
|
| 393 |
+
"step": 3000
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"epoch": 0.16,
|
| 397 |
+
"eval_accuracy": 0.8696780043192002,
|
| 398 |
+
"eval_f1": 0.8696780043192002,
|
| 399 |
+
"eval_loss": 0.5098685622215271,
|
| 400 |
+
"eval_precision": 0.8696780043192002,
|
| 401 |
+
"eval_recall": 0.8696780043192002,
|
| 402 |
+
"eval_runtime": 182.3242,
|
| 403 |
+
"eval_samples_per_second": 87.531,
|
| 404 |
+
"eval_steps_per_second": 5.474,
|
| 405 |
+
"step": 3000
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 0.16,
|
| 409 |
+
"eval_accuracy": 0.8661514180249728,
|
| 410 |
+
"eval_f1": 0.8661514180249729,
|
| 411 |
+
"eval_loss": 0.46759557723999023,
|
| 412 |
+
"eval_precision": 0.8661514180249728,
|
| 413 |
+
"eval_recall": 0.8661514180249728,
|
| 414 |
+
"eval_runtime": 185.214,
|
| 415 |
+
"eval_samples_per_second": 86.165,
|
| 416 |
+
"eval_steps_per_second": 5.388,
|
| 417 |
+
"step": 3100
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 0.17,
|
| 421 |
+
"eval_accuracy": 0.8626764161153585,
|
| 422 |
+
"eval_f1": 0.8626764161153585,
|
| 423 |
+
"eval_loss": 0.5452213287353516,
|
| 424 |
+
"eval_precision": 0.8626764161153585,
|
| 425 |
+
"eval_recall": 0.8626764161153585,
|
| 426 |
+
"eval_runtime": 181.9867,
|
| 427 |
+
"eval_samples_per_second": 87.693,
|
| 428 |
+
"eval_steps_per_second": 5.484,
|
| 429 |
+
"step": 3200
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.18,
|
| 433 |
+
"eval_accuracy": 0.8966457253905286,
|
| 434 |
+
"eval_f1": 0.8966457253905286,
|
| 435 |
+
"eval_loss": 0.38049089908599854,
|
| 436 |
+
"eval_precision": 0.8966457253905286,
|
| 437 |
+
"eval_recall": 0.8966457253905286,
|
| 438 |
+
"eval_runtime": 183.5682,
|
| 439 |
+
"eval_samples_per_second": 86.938,
|
| 440 |
+
"eval_steps_per_second": 5.437,
|
| 441 |
+
"step": 3300
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 0.18,
|
| 445 |
+
"eval_accuracy": 0.887366488204536,
|
| 446 |
+
"eval_f1": 0.887366488204536,
|
| 447 |
+
"eval_loss": 0.41261956095695496,
|
| 448 |
+
"eval_precision": 0.887366488204536,
|
| 449 |
+
"eval_recall": 0.887366488204536,
|
| 450 |
+
"eval_runtime": 186.6798,
|
| 451 |
+
"eval_samples_per_second": 85.489,
|
| 452 |
+
"eval_steps_per_second": 5.346,
|
| 453 |
+
"step": 3400
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 0.19,
|
| 457 |
+
"learning_rate": 1.629047669603992e-05,
|
| 458 |
+
"loss": 0.3686,
|
| 459 |
+
"step": 3500
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 0.19,
|
| 463 |
+
"eval_accuracy": 0.8557442684292654,
|
| 464 |
+
"eval_f1": 0.8557442684292654,
|
| 465 |
+
"eval_loss": 0.5042837262153625,
|
| 466 |
+
"eval_precision": 0.8557442684292654,
|
| 467 |
+
"eval_recall": 0.8557442684292654,
|
| 468 |
+
"eval_runtime": 186.7579,
|
| 469 |
+
"eval_samples_per_second": 85.453,
|
| 470 |
+
"eval_steps_per_second": 5.344,
|
| 471 |
+
"step": 3500
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.19,
|
| 475 |
+
"eval_accuracy": 0.8617965055547454,
|
| 476 |
+
"eval_f1": 0.8617965055547454,
|
| 477 |
+
"eval_loss": 0.46751198172569275,
|
| 478 |
+
"eval_precision": 0.8617965055547454,
|
| 479 |
+
"eval_recall": 0.8617965055547454,
|
| 480 |
+
"eval_runtime": 198.6805,
|
| 481 |
+
"eval_samples_per_second": 80.325,
|
| 482 |
+
"eval_steps_per_second": 5.023,
|
| 483 |
+
"step": 3600
|
| 484 |
+
},
|
| 485 |
+
{
|
| 486 |
+
"epoch": 0.2,
|
| 487 |
+
"eval_accuracy": 0.8682514976831667,
|
| 488 |
+
"eval_f1": 0.8682514976831667,
|
| 489 |
+
"eval_loss": 0.4736296832561493,
|
| 490 |
+
"eval_precision": 0.8682514976831667,
|
| 491 |
+
"eval_recall": 0.8682514976831667,
|
| 492 |
+
"eval_runtime": 198.48,
|
| 493 |
+
"eval_samples_per_second": 80.406,
|
| 494 |
+
"eval_steps_per_second": 5.028,
|
| 495 |
+
"step": 3700
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 0.2,
|
| 499 |
+
"eval_accuracy": 0.8476574241337543,
|
| 500 |
+
"eval_f1": 0.8476574241337542,
|
| 501 |
+
"eval_loss": 0.5243175029754639,
|
| 502 |
+
"eval_precision": 0.8476574241337543,
|
| 503 |
+
"eval_recall": 0.8476574241337543,
|
| 504 |
+
"eval_runtime": 193.5062,
|
| 505 |
+
"eval_samples_per_second": 82.473,
|
| 506 |
+
"eval_steps_per_second": 5.157,
|
| 507 |
+
"step": 3800
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.21,
|
| 511 |
+
"eval_accuracy": 0.8786953515525412,
|
| 512 |
+
"eval_f1": 0.8786953515525412,
|
| 513 |
+
"eval_loss": 0.4317740201950073,
|
| 514 |
+
"eval_precision": 0.8786953515525412,
|
| 515 |
+
"eval_recall": 0.8786953515525412,
|
| 516 |
+
"eval_runtime": 191.9223,
|
| 517 |
+
"eval_samples_per_second": 83.153,
|
| 518 |
+
"eval_steps_per_second": 5.2,
|
| 519 |
+
"step": 3900
|
| 520 |
+
},
|
| 521 |
+
{
|
| 522 |
+
"epoch": 0.21,
|
| 523 |
+
"learning_rate": 1.575963478076229e-05,
|
| 524 |
+
"loss": 0.2712,
|
| 525 |
+
"step": 4000
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"epoch": 0.21,
|
| 529 |
+
"eval_accuracy": 0.8783630290747447,
|
| 530 |
+
"eval_f1": 0.8783630290747447,
|
| 531 |
+
"eval_loss": 0.43737560510635376,
|
| 532 |
+
"eval_precision": 0.8783630290747447,
|
| 533 |
+
"eval_recall": 0.8783630290747447,
|
| 534 |
+
"eval_runtime": 190.6186,
|
| 535 |
+
"eval_samples_per_second": 83.722,
|
| 536 |
+
"eval_steps_per_second": 5.236,
|
| 537 |
+
"step": 4000
|
| 538 |
+
},
|
| 539 |
+
{
|
| 540 |
+
"epoch": 0.22,
|
| 541 |
+
"eval_accuracy": 0.8703069370085224,
|
| 542 |
+
"eval_f1": 0.8703069370085224,
|
| 543 |
+
"eval_loss": 0.5073068737983704,
|
| 544 |
+
"eval_precision": 0.8703069370085224,
|
| 545 |
+
"eval_recall": 0.8703069370085224,
|
| 546 |
+
"eval_runtime": 186.0675,
|
| 547 |
+
"eval_samples_per_second": 85.77,
|
| 548 |
+
"eval_steps_per_second": 5.364,
|
| 549 |
+
"step": 4100
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.22,
|
| 553 |
+
"eval_accuracy": 0.8908900984765742,
|
| 554 |
+
"eval_f1": 0.8908900984765742,
|
| 555 |
+
"eval_loss": 0.4120965301990509,
|
| 556 |
+
"eval_precision": 0.8908900984765742,
|
| 557 |
+
"eval_recall": 0.8908900984765742,
|
| 558 |
+
"eval_runtime": 178.3397,
|
| 559 |
+
"eval_samples_per_second": 89.487,
|
| 560 |
+
"eval_steps_per_second": 5.596,
|
| 561 |
+
"step": 4200
|
| 562 |
+
},
|
| 563 |
+
{
|
| 564 |
+
"epoch": 0.23,
|
| 565 |
+
"eval_accuracy": 0.8742471903870516,
|
| 566 |
+
"eval_f1": 0.8742471903870516,
|
| 567 |
+
"eval_loss": 0.481146901845932,
|
| 568 |
+
"eval_precision": 0.8742471903870516,
|
| 569 |
+
"eval_recall": 0.8742471903870516,
|
| 570 |
+
"eval_runtime": 179.3822,
|
| 571 |
+
"eval_samples_per_second": 88.966,
|
| 572 |
+
"eval_steps_per_second": 5.564,
|
| 573 |
+
"step": 4300
|
| 574 |
+
},
|
| 575 |
+
{
|
| 576 |
+
"epoch": 0.23,
|
| 577 |
+
"eval_accuracy": 0.8648419682617153,
|
| 578 |
+
"eval_f1": 0.8648419682617154,
|
| 579 |
+
"eval_loss": 0.5382417440414429,
|
| 580 |
+
"eval_precision": 0.8648419682617153,
|
| 581 |
+
"eval_recall": 0.8648419682617153,
|
| 582 |
+
"eval_runtime": 180.6189,
|
| 583 |
+
"eval_samples_per_second": 88.357,
|
| 584 |
+
"eval_steps_per_second": 5.525,
|
| 585 |
+
"step": 4400
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 0.24,
|
| 589 |
+
"learning_rate": 1.5228792865484661e-05,
|
| 590 |
+
"loss": 0.2641,
|
| 591 |
+
"step": 4500
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.24,
|
| 595 |
+
"eval_accuracy": 0.8675372523577536,
|
| 596 |
+
"eval_f1": 0.8675372523577536,
|
| 597 |
+
"eval_loss": 0.5521109104156494,
|
| 598 |
+
"eval_precision": 0.8675372523577536,
|
| 599 |
+
"eval_recall": 0.8675372523577536,
|
| 600 |
+
"eval_runtime": 178.45,
|
| 601 |
+
"eval_samples_per_second": 89.431,
|
| 602 |
+
"eval_steps_per_second": 5.593,
|
| 603 |
+
"step": 4500
|
| 604 |
+
},
|
| 605 |
+
{
|
| 606 |
+
"epoch": 0.24,
|
| 607 |
+
"eval_accuracy": 0.8621943005207047,
|
| 608 |
+
"eval_f1": 0.8621943005207047,
|
| 609 |
+
"eval_loss": 0.5831220149993896,
|
| 610 |
+
"eval_precision": 0.8621943005207047,
|
| 611 |
+
"eval_recall": 0.8621943005207047,
|
| 612 |
+
"eval_runtime": 258.7275,
|
| 613 |
+
"eval_samples_per_second": 61.683,
|
| 614 |
+
"eval_steps_per_second": 3.857,
|
| 615 |
+
"step": 4600
|
| 616 |
+
},
|
| 617 |
+
{
|
| 618 |
+
"epoch": 0.25,
|
| 619 |
+
"eval_accuracy": 0.871682851267339,
|
| 620 |
+
"eval_f1": 0.871682851267339,
|
| 621 |
+
"eval_loss": 0.46240246295928955,
|
| 622 |
+
"eval_precision": 0.871682851267339,
|
| 623 |
+
"eval_recall": 0.871682851267339,
|
| 624 |
+
"eval_runtime": 2013.7143,
|
| 625 |
+
"eval_samples_per_second": 7.925,
|
| 626 |
+
"eval_steps_per_second": 0.496,
|
| 627 |
+
"step": 4700
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 0.25,
|
| 631 |
+
"eval_accuracy": 0.8670442246817393,
|
| 632 |
+
"eval_f1": 0.8670442246817393,
|
| 633 |
+
"eval_loss": 0.5278752446174622,
|
| 634 |
+
"eval_precision": 0.8670442246817393,
|
| 635 |
+
"eval_recall": 0.8670442246817393,
|
| 636 |
+
"eval_runtime": 1506.7949,
|
| 637 |
+
"eval_samples_per_second": 10.591,
|
| 638 |
+
"eval_steps_per_second": 0.662,
|
| 639 |
+
"step": 4800
|
| 640 |
+
}
|
| 641 |
+
],
|
| 642 |
+
"logging_steps": 500,
|
| 643 |
+
"max_steps": 18838,
|
| 644 |
+
"num_train_epochs": 1,
|
| 645 |
+
"save_steps": 100,
|
| 646 |
+
"total_flos": 1.06818139717632e+16,
|
| 647 |
+
"trial_name": null,
|
| 648 |
+
"trial_params": null
|
| 649 |
+
}
|
checkpoint-4800/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b490d1b8547fb726aeded429a6044ce4a80f8def8ff6d44f9c25d0df4b1c0ff9
|
| 3 |
+
size 4792
|