Training in progress, step 471, checkpoint
Browse files- checkpoint-471/1_Pooling/config.json +10 -0
- checkpoint-471/README.md +0 -0
- checkpoint-471/added_tokens.json +3 -0
- checkpoint-471/config.json +38 -0
- checkpoint-471/config_sentence_transformers.json +10 -0
- checkpoint-471/modules.json +14 -0
- checkpoint-471/optimizer.pt +3 -0
- checkpoint-471/pytorch_model.bin +3 -0
- checkpoint-471/rng_state.pth +3 -0
- checkpoint-471/scheduler.pt +3 -0
- checkpoint-471/sentence_bert_config.json +4 -0
- checkpoint-471/special_tokens_map.json +15 -0
- checkpoint-471/spm.model +3 -0
- checkpoint-471/tokenizer.json +0 -0
- checkpoint-471/tokenizer_config.json +58 -0
- checkpoint-471/trainer_state.json +815 -0
- checkpoint-471/training_args.bin +3 -0
checkpoint-471/1_Pooling/config.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"word_embedding_dimension": 1536,
|
| 3 |
+
"pooling_mode_cls_token": false,
|
| 4 |
+
"pooling_mode_mean_tokens": true,
|
| 5 |
+
"pooling_mode_max_tokens": false,
|
| 6 |
+
"pooling_mode_mean_sqrt_len_tokens": false,
|
| 7 |
+
"pooling_mode_weightedmean_tokens": false,
|
| 8 |
+
"pooling_mode_lasttoken": false,
|
| 9 |
+
"include_prompt": true
|
| 10 |
+
}
|
checkpoint-471/README.md
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-471/added_tokens.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"[MASK]": 128000
|
| 3 |
+
}
|
checkpoint-471/config.json
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "microsoft/deberta-v2-xlarge",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"DebertaV2Model"
|
| 5 |
+
],
|
| 6 |
+
"attention_head_size": 64,
|
| 7 |
+
"attention_probs_dropout_prob": 0.1,
|
| 8 |
+
"conv_act": "gelu",
|
| 9 |
+
"conv_kernel_size": 3,
|
| 10 |
+
"hidden_act": "gelu",
|
| 11 |
+
"hidden_dropout_prob": 0.1,
|
| 12 |
+
"hidden_size": 1536,
|
| 13 |
+
"initializer_range": 0.02,
|
| 14 |
+
"intermediate_size": 6144,
|
| 15 |
+
"layer_norm_eps": 1e-07,
|
| 16 |
+
"max_position_embeddings": 512,
|
| 17 |
+
"max_relative_positions": -1,
|
| 18 |
+
"model_type": "deberta-v2",
|
| 19 |
+
"norm_rel_ebd": "layer_norm",
|
| 20 |
+
"num_attention_heads": 24,
|
| 21 |
+
"num_hidden_layers": 24,
|
| 22 |
+
"pad_token_id": 0,
|
| 23 |
+
"pooler_dropout": 0,
|
| 24 |
+
"pooler_hidden_act": "gelu",
|
| 25 |
+
"pooler_hidden_size": 1536,
|
| 26 |
+
"pos_att_type": [
|
| 27 |
+
"p2c",
|
| 28 |
+
"c2p"
|
| 29 |
+
],
|
| 30 |
+
"position_biased_input": false,
|
| 31 |
+
"position_buckets": 256,
|
| 32 |
+
"relative_attention": true,
|
| 33 |
+
"share_att_key": true,
|
| 34 |
+
"torch_dtype": "float32",
|
| 35 |
+
"transformers_version": "4.42.4",
|
| 36 |
+
"type_vocab_size": 0,
|
| 37 |
+
"vocab_size": 128100
|
| 38 |
+
}
|
checkpoint-471/config_sentence_transformers.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"__version__": {
|
| 3 |
+
"sentence_transformers": "3.0.1",
|
| 4 |
+
"transformers": "4.42.4",
|
| 5 |
+
"pytorch": "2.4.0+cu121"
|
| 6 |
+
},
|
| 7 |
+
"prompts": {},
|
| 8 |
+
"default_prompt_name": null,
|
| 9 |
+
"similarity_fn_name": null
|
| 10 |
+
}
|
checkpoint-471/modules.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"idx": 0,
|
| 4 |
+
"name": "0",
|
| 5 |
+
"path": "",
|
| 6 |
+
"type": "sentence_transformers.models.Transformer"
|
| 7 |
+
},
|
| 8 |
+
{
|
| 9 |
+
"idx": 1,
|
| 10 |
+
"name": "1",
|
| 11 |
+
"path": "1_Pooling",
|
| 12 |
+
"type": "sentence_transformers.models.Pooling"
|
| 13 |
+
}
|
| 14 |
+
]
|
checkpoint-471/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5015000af1a0d50ae3b2d6ea3e180524a71081a03b911d9e89b6314a18efdb69
|
| 3 |
+
size 7077084396
|
checkpoint-471/pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e4568c0e4a883b874a34cc3e2fc23f0e1f1977ddc8415131c390aa2ea2581c7e
|
| 3 |
+
size 3538506546
|
checkpoint-471/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a14718398d1c1fc7d548cc02e1dcb77914d09f9d022a9105b822a78bfbbee2a2
|
| 3 |
+
size 14244
|
checkpoint-471/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4ff41f33b90b042dbcfabbc23038d5f6b557b4133dcaa940601ab0fb15b2f228
|
| 3 |
+
size 1064
|
checkpoint-471/sentence_bert_config.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"max_seq_length": 512,
|
| 3 |
+
"do_lower_case": false
|
| 4 |
+
}
|
checkpoint-471/special_tokens_map.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": "[CLS]",
|
| 3 |
+
"cls_token": "[CLS]",
|
| 4 |
+
"eos_token": "[SEP]",
|
| 5 |
+
"mask_token": "[MASK]",
|
| 6 |
+
"pad_token": "[PAD]",
|
| 7 |
+
"sep_token": "[SEP]",
|
| 8 |
+
"unk_token": {
|
| 9 |
+
"content": "[UNK]",
|
| 10 |
+
"lstrip": false,
|
| 11 |
+
"normalized": true,
|
| 12 |
+
"rstrip": false,
|
| 13 |
+
"single_word": false
|
| 14 |
+
}
|
| 15 |
+
}
|
checkpoint-471/spm.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5598d5e96f339a8d980c15f9afd405a2e5e1be7db41de3ed13b0f03fac1e8c17
|
| 3 |
+
size 2447305
|
checkpoint-471/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-471/tokenizer_config.json
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "[PAD]",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "[CLS]",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "[SEP]",
|
| 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": true,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"128000": {
|
| 36 |
+
"content": "[MASK]",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"bos_token": "[CLS]",
|
| 45 |
+
"clean_up_tokenization_spaces": true,
|
| 46 |
+
"cls_token": "[CLS]",
|
| 47 |
+
"do_lower_case": false,
|
| 48 |
+
"eos_token": "[SEP]",
|
| 49 |
+
"mask_token": "[MASK]",
|
| 50 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 51 |
+
"pad_token": "[PAD]",
|
| 52 |
+
"sep_token": "[SEP]",
|
| 53 |
+
"sp_model_kwargs": {},
|
| 54 |
+
"split_by_punct": false,
|
| 55 |
+
"tokenizer_class": "DebertaV2Tokenizer",
|
| 56 |
+
"unk_token": "[UNK]",
|
| 57 |
+
"vocab_type": "spm"
|
| 58 |
+
}
|
checkpoint-471/trainer_state.json
ADDED
|
@@ -0,0 +1,815 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.30115089514066495,
|
| 5 |
+
"eval_steps": 157,
|
| 6 |
+
"global_step": 471,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.010230179028132993,
|
| 13 |
+
"grad_norm": 127.07197570800781,
|
| 14 |
+
"learning_rate": 2.129925452609159e-07,
|
| 15 |
+
"loss": 7.0465,
|
| 16 |
+
"step": 16
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.020460358056265986,
|
| 20 |
+
"grad_norm": 193.34689331054688,
|
| 21 |
+
"learning_rate": 5.537806176783813e-07,
|
| 22 |
+
"loss": 9.0583,
|
| 23 |
+
"step": 32
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.030690537084398978,
|
| 27 |
+
"grad_norm": 183.065185546875,
|
| 28 |
+
"learning_rate": 8.732694355697552e-07,
|
| 29 |
+
"loss": 8.6271,
|
| 30 |
+
"step": 48
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.04092071611253197,
|
| 34 |
+
"grad_norm": 150.517333984375,
|
| 35 |
+
"learning_rate": 1.2140575079872206e-06,
|
| 36 |
+
"loss": 5.6026,
|
| 37 |
+
"step": 64
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.05115089514066496,
|
| 41 |
+
"grad_norm": 78.38551330566406,
|
| 42 |
+
"learning_rate": 1.5335463258785943e-06,
|
| 43 |
+
"loss": 4.6908,
|
| 44 |
+
"step": 80
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.061381074168797956,
|
| 48 |
+
"grad_norm": 106.0997314453125,
|
| 49 |
+
"learning_rate": 1.8743343982960599e-06,
|
| 50 |
+
"loss": 3.1954,
|
| 51 |
+
"step": 96
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.07161125319693094,
|
| 55 |
+
"grad_norm": 47.50294876098633,
|
| 56 |
+
"learning_rate": 2.215122470713525e-06,
|
| 57 |
+
"loss": 2.1179,
|
| 58 |
+
"step": 112
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.08184143222506395,
|
| 62 |
+
"grad_norm": 24.581972122192383,
|
| 63 |
+
"learning_rate": 2.5559105431309904e-06,
|
| 64 |
+
"loss": 1.2636,
|
| 65 |
+
"step": 128
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.09207161125319693,
|
| 69 |
+
"grad_norm": 219.01101684570312,
|
| 70 |
+
"learning_rate": 2.8966986155484563e-06,
|
| 71 |
+
"loss": 0.8325,
|
| 72 |
+
"step": 144
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.100383631713555,
|
| 76 |
+
"eval_Qnli-dev_cosine_accuracy": 0.65234375,
|
| 77 |
+
"eval_Qnli-dev_cosine_accuracy_threshold": 0.8284608125686646,
|
| 78 |
+
"eval_Qnli-dev_cosine_ap": 0.6663718886737695,
|
| 79 |
+
"eval_Qnli-dev_cosine_f1": 0.6469673405909797,
|
| 80 |
+
"eval_Qnli-dev_cosine_f1_threshold": 0.702437698841095,
|
| 81 |
+
"eval_Qnli-dev_cosine_precision": 0.5110565110565111,
|
| 82 |
+
"eval_Qnli-dev_cosine_recall": 0.8813559322033898,
|
| 83 |
+
"eval_Qnli-dev_dot_accuracy": 0.654296875,
|
| 84 |
+
"eval_Qnli-dev_dot_accuracy_threshold": 899.9195556640625,
|
| 85 |
+
"eval_Qnli-dev_dot_ap": 0.6265727343636489,
|
| 86 |
+
"eval_Qnli-dev_dot_f1": 0.6462480857580397,
|
| 87 |
+
"eval_Qnli-dev_dot_f1_threshold": 708.03076171875,
|
| 88 |
+
"eval_Qnli-dev_dot_precision": 0.5059952038369304,
|
| 89 |
+
"eval_Qnli-dev_dot_recall": 0.8940677966101694,
|
| 90 |
+
"eval_Qnli-dev_euclidean_accuracy": 0.654296875,
|
| 91 |
+
"eval_Qnli-dev_euclidean_accuracy_threshold": 17.465450286865234,
|
| 92 |
+
"eval_Qnli-dev_euclidean_ap": 0.6678841105609593,
|
| 93 |
+
"eval_Qnli-dev_euclidean_f1": 0.6485568760611206,
|
| 94 |
+
"eval_Qnli-dev_euclidean_f1_threshold": 22.50777244567871,
|
| 95 |
+
"eval_Qnli-dev_euclidean_precision": 0.5410764872521246,
|
| 96 |
+
"eval_Qnli-dev_euclidean_recall": 0.809322033898305,
|
| 97 |
+
"eval_Qnli-dev_manhattan_accuracy": 0.654296875,
|
| 98 |
+
"eval_Qnli-dev_manhattan_accuracy_threshold": 541.6007080078125,
|
| 99 |
+
"eval_Qnli-dev_manhattan_ap": 0.6671352135215549,
|
| 100 |
+
"eval_Qnli-dev_manhattan_f1": 0.6472602739726028,
|
| 101 |
+
"eval_Qnli-dev_manhattan_f1_threshold": 693.766845703125,
|
| 102 |
+
"eval_Qnli-dev_manhattan_precision": 0.5431034482758621,
|
| 103 |
+
"eval_Qnli-dev_manhattan_recall": 0.8008474576271186,
|
| 104 |
+
"eval_Qnli-dev_max_accuracy": 0.654296875,
|
| 105 |
+
"eval_Qnli-dev_max_accuracy_threshold": 899.9195556640625,
|
| 106 |
+
"eval_Qnli-dev_max_ap": 0.6678841105609593,
|
| 107 |
+
"eval_Qnli-dev_max_f1": 0.6485568760611206,
|
| 108 |
+
"eval_Qnli-dev_max_f1_threshold": 708.03076171875,
|
| 109 |
+
"eval_Qnli-dev_max_precision": 0.5431034482758621,
|
| 110 |
+
"eval_Qnli-dev_max_recall": 0.8940677966101694,
|
| 111 |
+
"eval_allNLI-dev_cosine_accuracy": 0.69140625,
|
| 112 |
+
"eval_allNLI-dev_cosine_accuracy_threshold": 0.8886671662330627,
|
| 113 |
+
"eval_allNLI-dev_cosine_ap": 0.5184375875165067,
|
| 114 |
+
"eval_allNLI-dev_cosine_f1": 0.5584415584415584,
|
| 115 |
+
"eval_allNLI-dev_cosine_f1_threshold": 0.7475587725639343,
|
| 116 |
+
"eval_allNLI-dev_cosine_precision": 0.4463667820069204,
|
| 117 |
+
"eval_allNLI-dev_cosine_recall": 0.7456647398843931,
|
| 118 |
+
"eval_allNLI-dev_dot_accuracy": 0.689453125,
|
| 119 |
+
"eval_allNLI-dev_dot_accuracy_threshold": 935.1204223632812,
|
| 120 |
+
"eval_allNLI-dev_dot_ap": 0.4904119502439996,
|
| 121 |
+
"eval_allNLI-dev_dot_f1": 0.5509259259259259,
|
| 122 |
+
"eval_allNLI-dev_dot_f1_threshold": 803.4815673828125,
|
| 123 |
+
"eval_allNLI-dev_dot_precision": 0.4594594594594595,
|
| 124 |
+
"eval_allNLI-dev_dot_recall": 0.6878612716763006,
|
| 125 |
+
"eval_allNLI-dev_euclidean_accuracy": 0.6953125,
|
| 126 |
+
"eval_allNLI-dev_euclidean_accuracy_threshold": 15.452061653137207,
|
| 127 |
+
"eval_allNLI-dev_euclidean_ap": 0.5162188247814465,
|
| 128 |
+
"eval_allNLI-dev_euclidean_f1": 0.5557986870897156,
|
| 129 |
+
"eval_allNLI-dev_euclidean_f1_threshold": 22.695791244506836,
|
| 130 |
+
"eval_allNLI-dev_euclidean_precision": 0.4471830985915493,
|
| 131 |
+
"eval_allNLI-dev_euclidean_recall": 0.7341040462427746,
|
| 132 |
+
"eval_allNLI-dev_manhattan_accuracy": 0.693359375,
|
| 133 |
+
"eval_allNLI-dev_manhattan_accuracy_threshold": 484.3291015625,
|
| 134 |
+
"eval_allNLI-dev_manhattan_ap": 0.5171097761848361,
|
| 135 |
+
"eval_allNLI-dev_manhattan_f1": 0.5550660792951542,
|
| 136 |
+
"eval_allNLI-dev_manhattan_f1_threshold": 707.2572631835938,
|
| 137 |
+
"eval_allNLI-dev_manhattan_precision": 0.4483985765124555,
|
| 138 |
+
"eval_allNLI-dev_manhattan_recall": 0.7283236994219653,
|
| 139 |
+
"eval_allNLI-dev_max_accuracy": 0.6953125,
|
| 140 |
+
"eval_allNLI-dev_max_accuracy_threshold": 935.1204223632812,
|
| 141 |
+
"eval_allNLI-dev_max_ap": 0.5184375875165067,
|
| 142 |
+
"eval_allNLI-dev_max_f1": 0.5584415584415584,
|
| 143 |
+
"eval_allNLI-dev_max_f1_threshold": 803.4815673828125,
|
| 144 |
+
"eval_allNLI-dev_max_precision": 0.4594594594594595,
|
| 145 |
+
"eval_allNLI-dev_max_recall": 0.7456647398843931,
|
| 146 |
+
"eval_sequential_score": 0.6678841105609593,
|
| 147 |
+
"eval_sts-test_pearson_cosine": 0.8691399425075377,
|
| 148 |
+
"eval_sts-test_pearson_dot": 0.84633945645717,
|
| 149 |
+
"eval_sts-test_pearson_euclidean": 0.8863973274037125,
|
| 150 |
+
"eval_sts-test_pearson_manhattan": 0.887205994467606,
|
| 151 |
+
"eval_sts-test_pearson_max": 0.887205994467606,
|
| 152 |
+
"eval_sts-test_spearman_cosine": 0.8753474716765325,
|
| 153 |
+
"eval_sts-test_spearman_dot": 0.8345210301629428,
|
| 154 |
+
"eval_sts-test_spearman_euclidean": 0.8755160049269324,
|
| 155 |
+
"eval_sts-test_spearman_manhattan": 0.8763851191744148,
|
| 156 |
+
"eval_sts-test_spearman_max": 0.8763851191744148,
|
| 157 |
+
"eval_vitaminc-pairs_loss": 3.764756917953491,
|
| 158 |
+
"eval_vitaminc-pairs_runtime": 4.7024,
|
| 159 |
+
"eval_vitaminc-pairs_samples_per_second": 27.22,
|
| 160 |
+
"eval_vitaminc-pairs_steps_per_second": 0.213,
|
| 161 |
+
"step": 157
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"epoch": 0.100383631713555,
|
| 165 |
+
"eval_negation-triplets_loss": 1.4374932050704956,
|
| 166 |
+
"eval_negation-triplets_runtime": 3.2218,
|
| 167 |
+
"eval_negation-triplets_samples_per_second": 39.73,
|
| 168 |
+
"eval_negation-triplets_steps_per_second": 0.31,
|
| 169 |
+
"step": 157
|
| 170 |
+
},
|
| 171 |
+
{
|
| 172 |
+
"epoch": 0.100383631713555,
|
| 173 |
+
"eval_scitail-pairs-pos_loss": 0.07158112525939941,
|
| 174 |
+
"eval_scitail-pairs-pos_runtime": 2.7614,
|
| 175 |
+
"eval_scitail-pairs-pos_samples_per_second": 46.353,
|
| 176 |
+
"eval_scitail-pairs-pos_steps_per_second": 0.362,
|
| 177 |
+
"step": 157
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.100383631713555,
|
| 181 |
+
"eval_scitail-pairs-qa_loss": 0.11121156811714172,
|
| 182 |
+
"eval_scitail-pairs-qa_runtime": 2.2983,
|
| 183 |
+
"eval_scitail-pairs-qa_samples_per_second": 55.694,
|
| 184 |
+
"eval_scitail-pairs-qa_steps_per_second": 0.435,
|
| 185 |
+
"step": 157
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.100383631713555,
|
| 189 |
+
"eval_xsum-pairs_loss": 0.28410428762435913,
|
| 190 |
+
"eval_xsum-pairs_runtime": 3.1437,
|
| 191 |
+
"eval_xsum-pairs_samples_per_second": 40.717,
|
| 192 |
+
"eval_xsum-pairs_steps_per_second": 0.318,
|
| 193 |
+
"step": 157
|
| 194 |
+
},
|
| 195 |
+
{
|
| 196 |
+
"epoch": 0.100383631713555,
|
| 197 |
+
"eval_sciq_pairs_loss": 0.15557295083999634,
|
| 198 |
+
"eval_sciq_pairs_runtime": 4.4086,
|
| 199 |
+
"eval_sciq_pairs_samples_per_second": 29.034,
|
| 200 |
+
"eval_sciq_pairs_steps_per_second": 0.227,
|
| 201 |
+
"step": 157
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 0.100383631713555,
|
| 205 |
+
"eval_qasc_pairs_loss": 0.9191333651542664,
|
| 206 |
+
"eval_qasc_pairs_runtime": 2.1323,
|
| 207 |
+
"eval_qasc_pairs_samples_per_second": 60.03,
|
| 208 |
+
"eval_qasc_pairs_steps_per_second": 0.469,
|
| 209 |
+
"step": 157
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 0.100383631713555,
|
| 213 |
+
"eval_openbookqa_pairs_loss": 0.8187942504882812,
|
| 214 |
+
"eval_openbookqa_pairs_runtime": 2.2771,
|
| 215 |
+
"eval_openbookqa_pairs_samples_per_second": 56.213,
|
| 216 |
+
"eval_openbookqa_pairs_steps_per_second": 0.439,
|
| 217 |
+
"step": 157
|
| 218 |
+
},
|
| 219 |
+
{
|
| 220 |
+
"epoch": 0.100383631713555,
|
| 221 |
+
"eval_msmarco_pairs_loss": 0.6015267372131348,
|
| 222 |
+
"eval_msmarco_pairs_runtime": 2.2879,
|
| 223 |
+
"eval_msmarco_pairs_samples_per_second": 55.946,
|
| 224 |
+
"eval_msmarco_pairs_steps_per_second": 0.437,
|
| 225 |
+
"step": 157
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"epoch": 0.100383631713555,
|
| 229 |
+
"eval_nq_pairs_loss": 0.9822638630867004,
|
| 230 |
+
"eval_nq_pairs_runtime": 3.3732,
|
| 231 |
+
"eval_nq_pairs_samples_per_second": 37.946,
|
| 232 |
+
"eval_nq_pairs_steps_per_second": 0.296,
|
| 233 |
+
"step": 157
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.100383631713555,
|
| 237 |
+
"eval_trivia_pairs_loss": 0.3045535683631897,
|
| 238 |
+
"eval_trivia_pairs_runtime": 3.3462,
|
| 239 |
+
"eval_trivia_pairs_samples_per_second": 38.253,
|
| 240 |
+
"eval_trivia_pairs_steps_per_second": 0.299,
|
| 241 |
+
"step": 157
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.100383631713555,
|
| 245 |
+
"eval_gooaq_pairs_loss": 0.4534245729446411,
|
| 246 |
+
"eval_gooaq_pairs_runtime": 2.1775,
|
| 247 |
+
"eval_gooaq_pairs_samples_per_second": 58.783,
|
| 248 |
+
"eval_gooaq_pairs_steps_per_second": 0.459,
|
| 249 |
+
"step": 157
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 0.100383631713555,
|
| 253 |
+
"eval_paws-pos_loss": 0.03816518932580948,
|
| 254 |
+
"eval_paws-pos_runtime": 2.3035,
|
| 255 |
+
"eval_paws-pos_samples_per_second": 55.567,
|
| 256 |
+
"eval_paws-pos_steps_per_second": 0.434,
|
| 257 |
+
"step": 157
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"epoch": 0.100383631713555,
|
| 261 |
+
"eval_global_dataset_loss": 0.4413764476776123,
|
| 262 |
+
"eval_global_dataset_runtime": 8.8968,
|
| 263 |
+
"eval_global_dataset_samples_per_second": 36.53,
|
| 264 |
+
"eval_global_dataset_steps_per_second": 0.337,
|
| 265 |
+
"step": 157
|
| 266 |
+
},
|
| 267 |
+
{
|
| 268 |
+
"epoch": 0.10230179028132992,
|
| 269 |
+
"grad_norm": 4.65382719039917,
|
| 270 |
+
"learning_rate": 3.2374866879659217e-06,
|
| 271 |
+
"loss": 0.5674,
|
| 272 |
+
"step": 160
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 0.11253196930946291,
|
| 276 |
+
"grad_norm": 16.067514419555664,
|
| 277 |
+
"learning_rate": 3.5782747603833866e-06,
|
| 278 |
+
"loss": 0.6077,
|
| 279 |
+
"step": 176
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 0.12276214833759591,
|
| 283 |
+
"grad_norm": 13.119791984558105,
|
| 284 |
+
"learning_rate": 3.919062832800852e-06,
|
| 285 |
+
"loss": 0.4102,
|
| 286 |
+
"step": 192
|
| 287 |
+
},
|
| 288 |
+
{
|
| 289 |
+
"epoch": 0.1329923273657289,
|
| 290 |
+
"grad_norm": 27.51828384399414,
|
| 291 |
+
"learning_rate": 4.259850905218318e-06,
|
| 292 |
+
"loss": 0.4442,
|
| 293 |
+
"step": 208
|
| 294 |
+
},
|
| 295 |
+
{
|
| 296 |
+
"epoch": 0.1432225063938619,
|
| 297 |
+
"grad_norm": 76.78152465820312,
|
| 298 |
+
"learning_rate": 4.600638977635783e-06,
|
| 299 |
+
"loss": 0.3306,
|
| 300 |
+
"step": 224
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"epoch": 0.1534526854219949,
|
| 304 |
+
"grad_norm": 9.617141723632812,
|
| 305 |
+
"learning_rate": 4.941427050053248e-06,
|
| 306 |
+
"loss": 0.3002,
|
| 307 |
+
"step": 240
|
| 308 |
+
},
|
| 309 |
+
{
|
| 310 |
+
"epoch": 0.1636828644501279,
|
| 311 |
+
"grad_norm": 0.007532110437750816,
|
| 312 |
+
"learning_rate": 5.2822151224707144e-06,
|
| 313 |
+
"loss": 0.2485,
|
| 314 |
+
"step": 256
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 0.17391304347826086,
|
| 318 |
+
"grad_norm": 9.366889953613281,
|
| 319 |
+
"learning_rate": 5.623003194888179e-06,
|
| 320 |
+
"loss": 0.274,
|
| 321 |
+
"step": 272
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 0.18414322250639387,
|
| 325 |
+
"grad_norm": 2.958397626876831,
|
| 326 |
+
"learning_rate": 5.963791267305645e-06,
|
| 327 |
+
"loss": 0.2093,
|
| 328 |
+
"step": 288
|
| 329 |
+
},
|
| 330 |
+
{
|
| 331 |
+
"epoch": 0.19437340153452684,
|
| 332 |
+
"grad_norm": 0.2244662344455719,
|
| 333 |
+
"learning_rate": 6.304579339723111e-06,
|
| 334 |
+
"loss": 0.3521,
|
| 335 |
+
"step": 304
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"epoch": 0.20076726342711,
|
| 339 |
+
"eval_Qnli-dev_cosine_accuracy": 0.6796875,
|
| 340 |
+
"eval_Qnli-dev_cosine_accuracy_threshold": 0.750099241733551,
|
| 341 |
+
"eval_Qnli-dev_cosine_ap": 0.7156359777017246,
|
| 342 |
+
"eval_Qnli-dev_cosine_f1": 0.6803418803418803,
|
| 343 |
+
"eval_Qnli-dev_cosine_f1_threshold": 0.6485489010810852,
|
| 344 |
+
"eval_Qnli-dev_cosine_precision": 0.5702005730659025,
|
| 345 |
+
"eval_Qnli-dev_cosine_recall": 0.8432203389830508,
|
| 346 |
+
"eval_Qnli-dev_dot_accuracy": 0.681640625,
|
| 347 |
+
"eval_Qnli-dev_dot_accuracy_threshold": 724.4273681640625,
|
| 348 |
+
"eval_Qnli-dev_dot_ap": 0.7008881822413993,
|
| 349 |
+
"eval_Qnli-dev_dot_f1": 0.6768189509306259,
|
| 350 |
+
"eval_Qnli-dev_dot_f1_threshold": 601.5821533203125,
|
| 351 |
+
"eval_Qnli-dev_dot_precision": 0.5633802816901409,
|
| 352 |
+
"eval_Qnli-dev_dot_recall": 0.847457627118644,
|
| 353 |
+
"eval_Qnli-dev_euclidean_accuracy": 0.6796875,
|
| 354 |
+
"eval_Qnli-dev_euclidean_accuracy_threshold": 21.8489990234375,
|
| 355 |
+
"eval_Qnli-dev_euclidean_ap": 0.7160572797142014,
|
| 356 |
+
"eval_Qnli-dev_euclidean_f1": 0.6843033509700176,
|
| 357 |
+
"eval_Qnli-dev_euclidean_f1_threshold": 25.212352752685547,
|
| 358 |
+
"eval_Qnli-dev_euclidean_precision": 0.5861027190332326,
|
| 359 |
+
"eval_Qnli-dev_euclidean_recall": 0.8220338983050848,
|
| 360 |
+
"eval_Qnli-dev_manhattan_accuracy": 0.6796875,
|
| 361 |
+
"eval_Qnli-dev_manhattan_accuracy_threshold": 667.1034545898438,
|
| 362 |
+
"eval_Qnli-dev_manhattan_ap": 0.7161884702166013,
|
| 363 |
+
"eval_Qnli-dev_manhattan_f1": 0.6877192982456141,
|
| 364 |
+
"eval_Qnli-dev_manhattan_f1_threshold": 791.084716796875,
|
| 365 |
+
"eval_Qnli-dev_manhattan_precision": 0.5868263473053892,
|
| 366 |
+
"eval_Qnli-dev_manhattan_recall": 0.8305084745762712,
|
| 367 |
+
"eval_Qnli-dev_max_accuracy": 0.681640625,
|
| 368 |
+
"eval_Qnli-dev_max_accuracy_threshold": 724.4273681640625,
|
| 369 |
+
"eval_Qnli-dev_max_ap": 0.7161884702166013,
|
| 370 |
+
"eval_Qnli-dev_max_f1": 0.6877192982456141,
|
| 371 |
+
"eval_Qnli-dev_max_f1_threshold": 791.084716796875,
|
| 372 |
+
"eval_Qnli-dev_max_precision": 0.5868263473053892,
|
| 373 |
+
"eval_Qnli-dev_max_recall": 0.847457627118644,
|
| 374 |
+
"eval_allNLI-dev_cosine_accuracy": 0.71875,
|
| 375 |
+
"eval_allNLI-dev_cosine_accuracy_threshold": 0.834626317024231,
|
| 376 |
+
"eval_allNLI-dev_cosine_ap": 0.5835584554560046,
|
| 377 |
+
"eval_allNLI-dev_cosine_f1": 0.6094808126410836,
|
| 378 |
+
"eval_allNLI-dev_cosine_f1_threshold": 0.6867948174476624,
|
| 379 |
+
"eval_allNLI-dev_cosine_precision": 0.5,
|
| 380 |
+
"eval_allNLI-dev_cosine_recall": 0.7803468208092486,
|
| 381 |
+
"eval_allNLI-dev_dot_accuracy": 0.716796875,
|
| 382 |
+
"eval_allNLI-dev_dot_accuracy_threshold": 792.005615234375,
|
| 383 |
+
"eval_allNLI-dev_dot_ap": 0.5699574122566177,
|
| 384 |
+
"eval_allNLI-dev_dot_f1": 0.6130434782608695,
|
| 385 |
+
"eval_allNLI-dev_dot_f1_threshold": 633.9556274414062,
|
| 386 |
+
"eval_allNLI-dev_dot_precision": 0.4912891986062718,
|
| 387 |
+
"eval_allNLI-dev_dot_recall": 0.815028901734104,
|
| 388 |
+
"eval_allNLI-dev_euclidean_accuracy": 0.716796875,
|
| 389 |
+
"eval_allNLI-dev_euclidean_accuracy_threshold": 17.933330535888672,
|
| 390 |
+
"eval_allNLI-dev_euclidean_ap": 0.583705987979273,
|
| 391 |
+
"eval_allNLI-dev_euclidean_f1": 0.602510460251046,
|
| 392 |
+
"eval_allNLI-dev_euclidean_f1_threshold": 25.284334182739258,
|
| 393 |
+
"eval_allNLI-dev_euclidean_precision": 0.4721311475409836,
|
| 394 |
+
"eval_allNLI-dev_euclidean_recall": 0.8323699421965318,
|
| 395 |
+
"eval_allNLI-dev_manhattan_accuracy": 0.720703125,
|
| 396 |
+
"eval_allNLI-dev_manhattan_accuracy_threshold": 559.5651245117188,
|
| 397 |
+
"eval_allNLI-dev_manhattan_ap": 0.5843640673658059,
|
| 398 |
+
"eval_allNLI-dev_manhattan_f1": 0.6072186836518046,
|
| 399 |
+
"eval_allNLI-dev_manhattan_f1_threshold": 784.5065307617188,
|
| 400 |
+
"eval_allNLI-dev_manhattan_precision": 0.4798657718120805,
|
| 401 |
+
"eval_allNLI-dev_manhattan_recall": 0.8265895953757225,
|
| 402 |
+
"eval_allNLI-dev_max_accuracy": 0.720703125,
|
| 403 |
+
"eval_allNLI-dev_max_accuracy_threshold": 792.005615234375,
|
| 404 |
+
"eval_allNLI-dev_max_ap": 0.5843640673658059,
|
| 405 |
+
"eval_allNLI-dev_max_f1": 0.6130434782608695,
|
| 406 |
+
"eval_allNLI-dev_max_f1_threshold": 784.5065307617188,
|
| 407 |
+
"eval_allNLI-dev_max_precision": 0.5,
|
| 408 |
+
"eval_allNLI-dev_max_recall": 0.8323699421965318,
|
| 409 |
+
"eval_sequential_score": 0.7161884702166013,
|
| 410 |
+
"eval_sts-test_pearson_cosine": 0.9083914036604525,
|
| 411 |
+
"eval_sts-test_pearson_dot": 0.8981723163151856,
|
| 412 |
+
"eval_sts-test_pearson_euclidean": 0.9173432574357514,
|
| 413 |
+
"eval_sts-test_pearson_manhattan": 0.9168751297887556,
|
| 414 |
+
"eval_sts-test_pearson_max": 0.9173432574357514,
|
| 415 |
+
"eval_sts-test_spearman_cosine": 0.9121196279131069,
|
| 416 |
+
"eval_sts-test_spearman_dot": 0.894677286770672,
|
| 417 |
+
"eval_sts-test_spearman_euclidean": 0.9124939274633844,
|
| 418 |
+
"eval_sts-test_spearman_manhattan": 0.9125480317384066,
|
| 419 |
+
"eval_sts-test_spearman_max": 0.9125480317384066,
|
| 420 |
+
"eval_vitaminc-pairs_loss": 3.233806610107422,
|
| 421 |
+
"eval_vitaminc-pairs_runtime": 4.507,
|
| 422 |
+
"eval_vitaminc-pairs_samples_per_second": 28.401,
|
| 423 |
+
"eval_vitaminc-pairs_steps_per_second": 0.222,
|
| 424 |
+
"step": 314
|
| 425 |
+
},
|
| 426 |
+
{
|
| 427 |
+
"epoch": 0.20076726342711,
|
| 428 |
+
"eval_negation-triplets_loss": 0.7851067781448364,
|
| 429 |
+
"eval_negation-triplets_runtime": 3.158,
|
| 430 |
+
"eval_negation-triplets_samples_per_second": 40.532,
|
| 431 |
+
"eval_negation-triplets_steps_per_second": 0.317,
|
| 432 |
+
"step": 314
|
| 433 |
+
},
|
| 434 |
+
{
|
| 435 |
+
"epoch": 0.20076726342711,
|
| 436 |
+
"eval_scitail-pairs-pos_loss": 0.021762849763035774,
|
| 437 |
+
"eval_scitail-pairs-pos_runtime": 2.6751,
|
| 438 |
+
"eval_scitail-pairs-pos_samples_per_second": 47.849,
|
| 439 |
+
"eval_scitail-pairs-pos_steps_per_second": 0.374,
|
| 440 |
+
"step": 314
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 0.20076726342711,
|
| 444 |
+
"eval_scitail-pairs-qa_loss": 0.010233570821583271,
|
| 445 |
+
"eval_scitail-pairs-qa_runtime": 2.2385,
|
| 446 |
+
"eval_scitail-pairs-qa_samples_per_second": 57.181,
|
| 447 |
+
"eval_scitail-pairs-qa_steps_per_second": 0.447,
|
| 448 |
+
"step": 314
|
| 449 |
+
},
|
| 450 |
+
{
|
| 451 |
+
"epoch": 0.20076726342711,
|
| 452 |
+
"eval_xsum-pairs_loss": 0.07829513400793076,
|
| 453 |
+
"eval_xsum-pairs_runtime": 3.1055,
|
| 454 |
+
"eval_xsum-pairs_samples_per_second": 41.217,
|
| 455 |
+
"eval_xsum-pairs_steps_per_second": 0.322,
|
| 456 |
+
"step": 314
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"epoch": 0.20076726342711,
|
| 460 |
+
"eval_sciq_pairs_loss": 0.06304117292165756,
|
| 461 |
+
"eval_sciq_pairs_runtime": 4.3422,
|
| 462 |
+
"eval_sciq_pairs_samples_per_second": 29.478,
|
| 463 |
+
"eval_sciq_pairs_steps_per_second": 0.23,
|
| 464 |
+
"step": 314
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.20076726342711,
|
| 468 |
+
"eval_qasc_pairs_loss": 0.11734917759895325,
|
| 469 |
+
"eval_qasc_pairs_runtime": 2.1055,
|
| 470 |
+
"eval_qasc_pairs_samples_per_second": 60.793,
|
| 471 |
+
"eval_qasc_pairs_steps_per_second": 0.475,
|
| 472 |
+
"step": 314
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.20076726342711,
|
| 476 |
+
"eval_openbookqa_pairs_loss": 0.45362916588783264,
|
| 477 |
+
"eval_openbookqa_pairs_runtime": 2.2519,
|
| 478 |
+
"eval_openbookqa_pairs_samples_per_second": 56.84,
|
| 479 |
+
"eval_openbookqa_pairs_steps_per_second": 0.444,
|
| 480 |
+
"step": 314
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 0.20076726342711,
|
| 484 |
+
"eval_msmarco_pairs_loss": 0.1522417515516281,
|
| 485 |
+
"eval_msmarco_pairs_runtime": 2.2506,
|
| 486 |
+
"eval_msmarco_pairs_samples_per_second": 56.874,
|
| 487 |
+
"eval_msmarco_pairs_steps_per_second": 0.444,
|
| 488 |
+
"step": 314
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 0.20076726342711,
|
| 492 |
+
"eval_nq_pairs_loss": 0.18318293988704681,
|
| 493 |
+
"eval_nq_pairs_runtime": 3.3369,
|
| 494 |
+
"eval_nq_pairs_samples_per_second": 38.359,
|
| 495 |
+
"eval_nq_pairs_steps_per_second": 0.3,
|
| 496 |
+
"step": 314
|
| 497 |
+
},
|
| 498 |
+
{
|
| 499 |
+
"epoch": 0.20076726342711,
|
| 500 |
+
"eval_trivia_pairs_loss": 0.13312742114067078,
|
| 501 |
+
"eval_trivia_pairs_runtime": 3.3622,
|
| 502 |
+
"eval_trivia_pairs_samples_per_second": 38.07,
|
| 503 |
+
"eval_trivia_pairs_steps_per_second": 0.297,
|
| 504 |
+
"step": 314
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"epoch": 0.20076726342711,
|
| 508 |
+
"eval_gooaq_pairs_loss": 0.13270226120948792,
|
| 509 |
+
"eval_gooaq_pairs_runtime": 2.2422,
|
| 510 |
+
"eval_gooaq_pairs_samples_per_second": 57.086,
|
| 511 |
+
"eval_gooaq_pairs_steps_per_second": 0.446,
|
| 512 |
+
"step": 314
|
| 513 |
+
},
|
| 514 |
+
{
|
| 515 |
+
"epoch": 0.20076726342711,
|
| 516 |
+
"eval_paws-pos_loss": 0.02471838891506195,
|
| 517 |
+
"eval_paws-pos_runtime": 2.3061,
|
| 518 |
+
"eval_paws-pos_samples_per_second": 55.506,
|
| 519 |
+
"eval_paws-pos_steps_per_second": 0.434,
|
| 520 |
+
"step": 314
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.20076726342711,
|
| 524 |
+
"eval_global_dataset_loss": 0.23317644000053406,
|
| 525 |
+
"eval_global_dataset_runtime": 8.8835,
|
| 526 |
+
"eval_global_dataset_samples_per_second": 36.585,
|
| 527 |
+
"eval_global_dataset_steps_per_second": 0.338,
|
| 528 |
+
"step": 314
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.20460358056265984,
|
| 532 |
+
"grad_norm": 14.963007926940918,
|
| 533 |
+
"learning_rate": 6.645367412140575e-06,
|
| 534 |
+
"loss": 0.2628,
|
| 535 |
+
"step": 320
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.21483375959079284,
|
| 539 |
+
"grad_norm": 33.163265228271484,
|
| 540 |
+
"learning_rate": 6.986155484558041e-06,
|
| 541 |
+
"loss": 0.2167,
|
| 542 |
+
"step": 336
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.22506393861892582,
|
| 546 |
+
"grad_norm": 239.8547821044922,
|
| 547 |
+
"learning_rate": 7.326943556975507e-06,
|
| 548 |
+
"loss": 0.1816,
|
| 549 |
+
"step": 352
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.23529411764705882,
|
| 553 |
+
"grad_norm": 6.623231410980225,
|
| 554 |
+
"learning_rate": 7.667731629392972e-06,
|
| 555 |
+
"loss": 0.1327,
|
| 556 |
+
"step": 368
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.24552429667519182,
|
| 560 |
+
"grad_norm": 9.30941390991211,
|
| 561 |
+
"learning_rate": 8.008519701810438e-06,
|
| 562 |
+
"loss": 0.2178,
|
| 563 |
+
"step": 384
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.2557544757033248,
|
| 567 |
+
"grad_norm": 4.750399112701416,
|
| 568 |
+
"learning_rate": 8.32800851970181e-06,
|
| 569 |
+
"loss": 0.0993,
|
| 570 |
+
"step": 400
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.2659846547314578,
|
| 574 |
+
"grad_norm": 6.0740461349487305,
|
| 575 |
+
"learning_rate": 8.668796592119276e-06,
|
| 576 |
+
"loss": 0.2293,
|
| 577 |
+
"step": 416
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.27621483375959077,
|
| 581 |
+
"grad_norm": 39.3314323425293,
|
| 582 |
+
"learning_rate": 9.009584664536743e-06,
|
| 583 |
+
"loss": 0.4346,
|
| 584 |
+
"step": 432
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.2864450127877238,
|
| 588 |
+
"grad_norm": 1288.867431640625,
|
| 589 |
+
"learning_rate": 9.329073482428116e-06,
|
| 590 |
+
"loss": 1.0288,
|
| 591 |
+
"step": 448
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.2966751918158568,
|
| 595 |
+
"grad_norm": 9.365520477294922,
|
| 596 |
+
"learning_rate": 9.64856230031949e-06,
|
| 597 |
+
"loss": 0.4893,
|
| 598 |
+
"step": 464
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.30115089514066495,
|
| 602 |
+
"eval_Qnli-dev_cosine_accuracy": 0.69921875,
|
| 603 |
+
"eval_Qnli-dev_cosine_accuracy_threshold": 0.7410688400268555,
|
| 604 |
+
"eval_Qnli-dev_cosine_ap": 0.7331344916543854,
|
| 605 |
+
"eval_Qnli-dev_cosine_f1": 0.6888111888111887,
|
| 606 |
+
"eval_Qnli-dev_cosine_f1_threshold": 0.6412021517753601,
|
| 607 |
+
"eval_Qnli-dev_cosine_precision": 0.5863095238095238,
|
| 608 |
+
"eval_Qnli-dev_cosine_recall": 0.8347457627118644,
|
| 609 |
+
"eval_Qnli-dev_dot_accuracy": 0.69140625,
|
| 610 |
+
"eval_Qnli-dev_dot_accuracy_threshold": 673.3492431640625,
|
| 611 |
+
"eval_Qnli-dev_dot_ap": 0.702049578471496,
|
| 612 |
+
"eval_Qnli-dev_dot_f1": 0.6897810218978102,
|
| 613 |
+
"eval_Qnli-dev_dot_f1_threshold": 611.4298706054688,
|
| 614 |
+
"eval_Qnli-dev_dot_precision": 0.6057692307692307,
|
| 615 |
+
"eval_Qnli-dev_dot_recall": 0.8008474576271186,
|
| 616 |
+
"eval_Qnli-dev_euclidean_accuracy": 0.697265625,
|
| 617 |
+
"eval_Qnli-dev_euclidean_accuracy_threshold": 22.84914207458496,
|
| 618 |
+
"eval_Qnli-dev_euclidean_ap": 0.7357836494194735,
|
| 619 |
+
"eval_Qnli-dev_euclidean_f1": 0.6843177189409368,
|
| 620 |
+
"eval_Qnli-dev_euclidean_f1_threshold": 23.908557891845703,
|
| 621 |
+
"eval_Qnli-dev_euclidean_precision": 0.6588235294117647,
|
| 622 |
+
"eval_Qnli-dev_euclidean_recall": 0.711864406779661,
|
| 623 |
+
"eval_Qnli-dev_manhattan_accuracy": 0.69921875,
|
| 624 |
+
"eval_Qnli-dev_manhattan_accuracy_threshold": 712.7897338867188,
|
| 625 |
+
"eval_Qnli-dev_manhattan_ap": 0.736884863348749,
|
| 626 |
+
"eval_Qnli-dev_manhattan_f1": 0.6865079365079366,
|
| 627 |
+
"eval_Qnli-dev_manhattan_f1_threshold": 753.1321411132812,
|
| 628 |
+
"eval_Qnli-dev_manhattan_precision": 0.6455223880597015,
|
| 629 |
+
"eval_Qnli-dev_manhattan_recall": 0.7330508474576272,
|
| 630 |
+
"eval_Qnli-dev_max_accuracy": 0.69921875,
|
| 631 |
+
"eval_Qnli-dev_max_accuracy_threshold": 712.7897338867188,
|
| 632 |
+
"eval_Qnli-dev_max_ap": 0.736884863348749,
|
| 633 |
+
"eval_Qnli-dev_max_f1": 0.6897810218978102,
|
| 634 |
+
"eval_Qnli-dev_max_f1_threshold": 753.1321411132812,
|
| 635 |
+
"eval_Qnli-dev_max_precision": 0.6588235294117647,
|
| 636 |
+
"eval_Qnli-dev_max_recall": 0.8347457627118644,
|
| 637 |
+
"eval_allNLI-dev_cosine_accuracy": 0.716796875,
|
| 638 |
+
"eval_allNLI-dev_cosine_accuracy_threshold": 0.835934042930603,
|
| 639 |
+
"eval_allNLI-dev_cosine_ap": 0.5816321594253542,
|
| 640 |
+
"eval_allNLI-dev_cosine_f1": 0.6029106029106028,
|
| 641 |
+
"eval_allNLI-dev_cosine_f1_threshold": 0.6776033043861389,
|
| 642 |
+
"eval_allNLI-dev_cosine_precision": 0.4707792207792208,
|
| 643 |
+
"eval_allNLI-dev_cosine_recall": 0.838150289017341,
|
| 644 |
+
"eval_allNLI-dev_dot_accuracy": 0.703125,
|
| 645 |
+
"eval_allNLI-dev_dot_accuracy_threshold": 810.56591796875,
|
| 646 |
+
"eval_allNLI-dev_dot_ap": 0.5677886575854101,
|
| 647 |
+
"eval_allNLI-dev_dot_f1": 0.6004228329809725,
|
| 648 |
+
"eval_allNLI-dev_dot_f1_threshold": 647.8101806640625,
|
| 649 |
+
"eval_allNLI-dev_dot_precision": 0.47333333333333333,
|
| 650 |
+
"eval_allNLI-dev_dot_recall": 0.8208092485549133,
|
| 651 |
+
"eval_allNLI-dev_euclidean_accuracy": 0.71875,
|
| 652 |
+
"eval_allNLI-dev_euclidean_accuracy_threshold": 17.530292510986328,
|
| 653 |
+
"eval_allNLI-dev_euclidean_ap": 0.5790276724859877,
|
| 654 |
+
"eval_allNLI-dev_euclidean_f1": 0.6070686070686071,
|
| 655 |
+
"eval_allNLI-dev_euclidean_f1_threshold": 24.67755126953125,
|
| 656 |
+
"eval_allNLI-dev_euclidean_precision": 0.474025974025974,
|
| 657 |
+
"eval_allNLI-dev_euclidean_recall": 0.8439306358381503,
|
| 658 |
+
"eval_allNLI-dev_manhattan_accuracy": 0.71875,
|
| 659 |
+
"eval_allNLI-dev_manhattan_accuracy_threshold": 547.3074951171875,
|
| 660 |
+
"eval_allNLI-dev_manhattan_ap": 0.5803704124451106,
|
| 661 |
+
"eval_allNLI-dev_manhattan_f1": 0.6008583690987125,
|
| 662 |
+
"eval_allNLI-dev_manhattan_f1_threshold": 760.1802368164062,
|
| 663 |
+
"eval_allNLI-dev_manhattan_precision": 0.4778156996587031,
|
| 664 |
+
"eval_allNLI-dev_manhattan_recall": 0.8092485549132948,
|
| 665 |
+
"eval_allNLI-dev_max_accuracy": 0.71875,
|
| 666 |
+
"eval_allNLI-dev_max_accuracy_threshold": 810.56591796875,
|
| 667 |
+
"eval_allNLI-dev_max_ap": 0.5816321594253542,
|
| 668 |
+
"eval_allNLI-dev_max_f1": 0.6070686070686071,
|
| 669 |
+
"eval_allNLI-dev_max_f1_threshold": 760.1802368164062,
|
| 670 |
+
"eval_allNLI-dev_max_precision": 0.4778156996587031,
|
| 671 |
+
"eval_allNLI-dev_max_recall": 0.8439306358381503,
|
| 672 |
+
"eval_sequential_score": 0.736884863348749,
|
| 673 |
+
"eval_sts-test_pearson_cosine": 0.9094229035285761,
|
| 674 |
+
"eval_sts-test_pearson_dot": 0.8982590057670237,
|
| 675 |
+
"eval_sts-test_pearson_euclidean": 0.9199260651959468,
|
| 676 |
+
"eval_sts-test_pearson_manhattan": 0.9194219727619668,
|
| 677 |
+
"eval_sts-test_pearson_max": 0.9199260651959468,
|
| 678 |
+
"eval_sts-test_spearman_cosine": 0.9158958736030971,
|
| 679 |
+
"eval_sts-test_spearman_dot": 0.8963403778977608,
|
| 680 |
+
"eval_sts-test_spearman_euclidean": 0.9158618178931783,
|
| 681 |
+
"eval_sts-test_spearman_manhattan": 0.9156180577723795,
|
| 682 |
+
"eval_sts-test_spearman_max": 0.9158958736030971,
|
| 683 |
+
"eval_vitaminc-pairs_loss": 3.671621084213257,
|
| 684 |
+
"eval_vitaminc-pairs_runtime": 4.6059,
|
| 685 |
+
"eval_vitaminc-pairs_samples_per_second": 27.791,
|
| 686 |
+
"eval_vitaminc-pairs_steps_per_second": 0.217,
|
| 687 |
+
"step": 471
|
| 688 |
+
},
|
| 689 |
+
{
|
| 690 |
+
"epoch": 0.30115089514066495,
|
| 691 |
+
"eval_negation-triplets_loss": 0.6801220774650574,
|
| 692 |
+
"eval_negation-triplets_runtime": 3.2119,
|
| 693 |
+
"eval_negation-triplets_samples_per_second": 39.852,
|
| 694 |
+
"eval_negation-triplets_steps_per_second": 0.311,
|
| 695 |
+
"step": 471
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 0.30115089514066495,
|
| 699 |
+
"eval_scitail-pairs-pos_loss": 0.01225399598479271,
|
| 700 |
+
"eval_scitail-pairs-pos_runtime": 2.7794,
|
| 701 |
+
"eval_scitail-pairs-pos_samples_per_second": 46.052,
|
| 702 |
+
"eval_scitail-pairs-pos_steps_per_second": 0.36,
|
| 703 |
+
"step": 471
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.30115089514066495,
|
| 707 |
+
"eval_scitail-pairs-qa_loss": 0.00501797953620553,
|
| 708 |
+
"eval_scitail-pairs-qa_runtime": 2.3318,
|
| 709 |
+
"eval_scitail-pairs-qa_samples_per_second": 54.893,
|
| 710 |
+
"eval_scitail-pairs-qa_steps_per_second": 0.429,
|
| 711 |
+
"step": 471
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 0.30115089514066495,
|
| 715 |
+
"eval_xsum-pairs_loss": 0.05804339051246643,
|
| 716 |
+
"eval_xsum-pairs_runtime": 3.1527,
|
| 717 |
+
"eval_xsum-pairs_samples_per_second": 40.6,
|
| 718 |
+
"eval_xsum-pairs_steps_per_second": 0.317,
|
| 719 |
+
"step": 471
|
| 720 |
+
},
|
| 721 |
+
{
|
| 722 |
+
"epoch": 0.30115089514066495,
|
| 723 |
+
"eval_sciq_pairs_loss": 0.04724589362740517,
|
| 724 |
+
"eval_sciq_pairs_runtime": 4.3481,
|
| 725 |
+
"eval_sciq_pairs_samples_per_second": 29.438,
|
| 726 |
+
"eval_sciq_pairs_steps_per_second": 0.23,
|
| 727 |
+
"step": 471
|
| 728 |
+
},
|
| 729 |
+
{
|
| 730 |
+
"epoch": 0.30115089514066495,
|
| 731 |
+
"eval_qasc_pairs_loss": 0.04424997419118881,
|
| 732 |
+
"eval_qasc_pairs_runtime": 2.1476,
|
| 733 |
+
"eval_qasc_pairs_samples_per_second": 59.6,
|
| 734 |
+
"eval_qasc_pairs_steps_per_second": 0.466,
|
| 735 |
+
"step": 471
|
| 736 |
+
},
|
| 737 |
+
{
|
| 738 |
+
"epoch": 0.30115089514066495,
|
| 739 |
+
"eval_openbookqa_pairs_loss": 0.46001699566841125,
|
| 740 |
+
"eval_openbookqa_pairs_runtime": 2.3534,
|
| 741 |
+
"eval_openbookqa_pairs_samples_per_second": 54.389,
|
| 742 |
+
"eval_openbookqa_pairs_steps_per_second": 0.425,
|
| 743 |
+
"step": 471
|
| 744 |
+
},
|
| 745 |
+
{
|
| 746 |
+
"epoch": 0.30115089514066495,
|
| 747 |
+
"eval_msmarco_pairs_loss": 0.22556719183921814,
|
| 748 |
+
"eval_msmarco_pairs_runtime": 2.2946,
|
| 749 |
+
"eval_msmarco_pairs_samples_per_second": 55.782,
|
| 750 |
+
"eval_msmarco_pairs_steps_per_second": 0.436,
|
| 751 |
+
"step": 471
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.30115089514066495,
|
| 755 |
+
"eval_nq_pairs_loss": 0.13123252987861633,
|
| 756 |
+
"eval_nq_pairs_runtime": 3.3642,
|
| 757 |
+
"eval_nq_pairs_samples_per_second": 38.048,
|
| 758 |
+
"eval_nq_pairs_steps_per_second": 0.297,
|
| 759 |
+
"step": 471
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 0.30115089514066495,
|
| 763 |
+
"eval_trivia_pairs_loss": 0.11183707416057587,
|
| 764 |
+
"eval_trivia_pairs_runtime": 3.3501,
|
| 765 |
+
"eval_trivia_pairs_samples_per_second": 38.208,
|
| 766 |
+
"eval_trivia_pairs_steps_per_second": 0.299,
|
| 767 |
+
"step": 471
|
| 768 |
+
},
|
| 769 |
+
{
|
| 770 |
+
"epoch": 0.30115089514066495,
|
| 771 |
+
"eval_gooaq_pairs_loss": 0.17444811761379242,
|
| 772 |
+
"eval_gooaq_pairs_runtime": 2.2434,
|
| 773 |
+
"eval_gooaq_pairs_samples_per_second": 57.056,
|
| 774 |
+
"eval_gooaq_pairs_steps_per_second": 0.446,
|
| 775 |
+
"step": 471
|
| 776 |
+
},
|
| 777 |
+
{
|
| 778 |
+
"epoch": 0.30115089514066495,
|
| 779 |
+
"eval_paws-pos_loss": 0.02457336150109768,
|
| 780 |
+
"eval_paws-pos_runtime": 2.3035,
|
| 781 |
+
"eval_paws-pos_samples_per_second": 55.567,
|
| 782 |
+
"eval_paws-pos_steps_per_second": 0.434,
|
| 783 |
+
"step": 471
|
| 784 |
+
},
|
| 785 |
+
{
|
| 786 |
+
"epoch": 0.30115089514066495,
|
| 787 |
+
"eval_global_dataset_loss": 0.259395956993103,
|
| 788 |
+
"eval_global_dataset_runtime": 8.8545,
|
| 789 |
+
"eval_global_dataset_samples_per_second": 36.704,
|
| 790 |
+
"eval_global_dataset_steps_per_second": 0.339,
|
| 791 |
+
"step": 471
|
| 792 |
+
}
|
| 793 |
+
],
|
| 794 |
+
"logging_steps": 16,
|
| 795 |
+
"max_steps": 3128,
|
| 796 |
+
"num_input_tokens_seen": 0,
|
| 797 |
+
"num_train_epochs": 2,
|
| 798 |
+
"save_steps": 157,
|
| 799 |
+
"stateful_callbacks": {
|
| 800 |
+
"TrainerControl": {
|
| 801 |
+
"args": {
|
| 802 |
+
"should_epoch_stop": false,
|
| 803 |
+
"should_evaluate": false,
|
| 804 |
+
"should_log": false,
|
| 805 |
+
"should_save": true,
|
| 806 |
+
"should_training_stop": false
|
| 807 |
+
},
|
| 808 |
+
"attributes": {}
|
| 809 |
+
}
|
| 810 |
+
},
|
| 811 |
+
"total_flos": 0.0,
|
| 812 |
+
"train_batch_size": 64,
|
| 813 |
+
"trial_name": null,
|
| 814 |
+
"trial_params": null
|
| 815 |
+
}
|
checkpoint-471/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d523e4a0d91ff1db0041a8e72663ad04f154bb6b99fc03ec758da489cf961449
|
| 3 |
+
size 5560
|