model: add Basque model for XLSR Fine-Tuning week
Browse files- config.json +76 -0
- preprocessor_config.json +8 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- trainer_state.json +963 -0
- training_args.bin +3 -0
- vocab.json +1 -0
config.json
ADDED
|
@@ -0,0 +1,76 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "facebook/wav2vec2-large-xlsr-53",
|
| 3 |
+
"activation_dropout": 0.1,
|
| 4 |
+
"apply_spec_augment": true,
|
| 5 |
+
"architectures": [
|
| 6 |
+
"Wav2Vec2ForCTC"
|
| 7 |
+
],
|
| 8 |
+
"attention_dropout": 0.1,
|
| 9 |
+
"bos_token_id": 1,
|
| 10 |
+
"conv_bias": true,
|
| 11 |
+
"conv_dim": [
|
| 12 |
+
512,
|
| 13 |
+
512,
|
| 14 |
+
512,
|
| 15 |
+
512,
|
| 16 |
+
512,
|
| 17 |
+
512,
|
| 18 |
+
512
|
| 19 |
+
],
|
| 20 |
+
"conv_kernel": [
|
| 21 |
+
10,
|
| 22 |
+
3,
|
| 23 |
+
3,
|
| 24 |
+
3,
|
| 25 |
+
3,
|
| 26 |
+
2,
|
| 27 |
+
2
|
| 28 |
+
],
|
| 29 |
+
"conv_stride": [
|
| 30 |
+
5,
|
| 31 |
+
2,
|
| 32 |
+
2,
|
| 33 |
+
2,
|
| 34 |
+
2,
|
| 35 |
+
2,
|
| 36 |
+
2
|
| 37 |
+
],
|
| 38 |
+
"ctc_loss_reduction": "mean",
|
| 39 |
+
"ctc_zero_infinity": true,
|
| 40 |
+
"do_stable_layer_norm": true,
|
| 41 |
+
"eos_token_id": 2,
|
| 42 |
+
"feat_extract_activation": "gelu",
|
| 43 |
+
"feat_extract_dropout": 0.0,
|
| 44 |
+
"feat_extract_norm": "layer",
|
| 45 |
+
"feat_proj_dropout": 0.0,
|
| 46 |
+
"final_dropout": 0.0,
|
| 47 |
+
"gradient_checkpointing": true,
|
| 48 |
+
"hidden_act": "gelu",
|
| 49 |
+
"hidden_dropout": 0.1,
|
| 50 |
+
"hidden_size": 1024,
|
| 51 |
+
"initializer_range": 0.02,
|
| 52 |
+
"intermediate_size": 4096,
|
| 53 |
+
"layer_norm_eps": 1e-05,
|
| 54 |
+
"layerdrop": 0.1,
|
| 55 |
+
"mask_channel_length": 10,
|
| 56 |
+
"mask_channel_min_space": 1,
|
| 57 |
+
"mask_channel_other": 0.0,
|
| 58 |
+
"mask_channel_prob": 0.0,
|
| 59 |
+
"mask_channel_selection": "static",
|
| 60 |
+
"mask_feature_length": 10,
|
| 61 |
+
"mask_feature_prob": 0.0,
|
| 62 |
+
"mask_time_length": 10,
|
| 63 |
+
"mask_time_min_space": 1,
|
| 64 |
+
"mask_time_other": 0.0,
|
| 65 |
+
"mask_time_prob": 0.05,
|
| 66 |
+
"mask_time_selection": "static",
|
| 67 |
+
"model_type": "wav2vec2",
|
| 68 |
+
"num_attention_heads": 16,
|
| 69 |
+
"num_conv_pos_embedding_groups": 16,
|
| 70 |
+
"num_conv_pos_embeddings": 128,
|
| 71 |
+
"num_feat_extract_layers": 7,
|
| 72 |
+
"num_hidden_layers": 24,
|
| 73 |
+
"pad_token_id": 30,
|
| 74 |
+
"transformers_version": "4.5.0.dev0",
|
| 75 |
+
"vocab_size": 31
|
| 76 |
+
}
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"do_normalize": true,
|
| 3 |
+
"feature_size": 1,
|
| 4 |
+
"padding_side": "right",
|
| 5 |
+
"padding_value": 0.0,
|
| 6 |
+
"return_attention_mask": true,
|
| 7 |
+
"sampling_rate": 16000
|
| 8 |
+
}
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2ea2d8092b25296935b087ef58109242b2f248265e7bd15f79e37e9ef62784ff
|
| 3 |
+
size 1262060951
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
| 1 |
+
{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "[UNK]", "pad_token": "[PAD]"}
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
| 1 |
+
{"unk_token": "[UNK]", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "[PAD]", "do_lower_case": false, "word_delimiter_token": "|"}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,963 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 29.998738965952082,
|
| 5 |
+
"global_step": 11880,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.25,
|
| 12 |
+
"learning_rate": 5.9999999999999995e-05,
|
| 13 |
+
"loss": NaN,
|
| 14 |
+
"step": 100
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.5,
|
| 18 |
+
"learning_rate": 0.00011999999999999999,
|
| 19 |
+
"loss": NaN,
|
| 20 |
+
"step": 200
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.76,
|
| 24 |
+
"learning_rate": 0.00017999999999999998,
|
| 25 |
+
"loss": NaN,
|
| 26 |
+
"step": 300
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 1.01,
|
| 30 |
+
"learning_rate": 0.00023999999999999998,
|
| 31 |
+
"loss": NaN,
|
| 32 |
+
"step": 400
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 1.01,
|
| 36 |
+
"eval_loss": 2.7731735706329346,
|
| 37 |
+
"eval_runtime": 603.0564,
|
| 38 |
+
"eval_samples_per_second": 8.576,
|
| 39 |
+
"eval_wer": 1.0,
|
| 40 |
+
"step": 400
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"epoch": 1.26,
|
| 44 |
+
"learning_rate": 0.0003,
|
| 45 |
+
"loss": NaN,
|
| 46 |
+
"step": 500
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"epoch": 1.51,
|
| 50 |
+
"learning_rate": 0.00029736379613356763,
|
| 51 |
+
"loss": NaN,
|
| 52 |
+
"step": 600
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 1.77,
|
| 56 |
+
"learning_rate": 0.0002947275922671353,
|
| 57 |
+
"loss": NaN,
|
| 58 |
+
"step": 700
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 2.02,
|
| 62 |
+
"learning_rate": 0.00029209138840070295,
|
| 63 |
+
"loss": NaN,
|
| 64 |
+
"step": 800
|
| 65 |
+
},
|
| 66 |
+
{
|
| 67 |
+
"epoch": 2.02,
|
| 68 |
+
"eval_loss": 0.2804177403450012,
|
| 69 |
+
"eval_runtime": 605.6208,
|
| 70 |
+
"eval_samples_per_second": 8.54,
|
| 71 |
+
"eval_wer": 0.516512825876631,
|
| 72 |
+
"step": 800
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 2.27,
|
| 76 |
+
"learning_rate": 0.0002894551845342706,
|
| 77 |
+
"loss": NaN,
|
| 78 |
+
"step": 900
|
| 79 |
+
},
|
| 80 |
+
{
|
| 81 |
+
"epoch": 2.52,
|
| 82 |
+
"learning_rate": 0.00028681898066783827,
|
| 83 |
+
"loss": NaN,
|
| 84 |
+
"step": 1000
|
| 85 |
+
},
|
| 86 |
+
{
|
| 87 |
+
"epoch": 2.78,
|
| 88 |
+
"learning_rate": 0.000284182776801406,
|
| 89 |
+
"loss": NaN,
|
| 90 |
+
"step": 1100
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"epoch": 3.03,
|
| 94 |
+
"learning_rate": 0.00028154657293497364,
|
| 95 |
+
"loss": NaN,
|
| 96 |
+
"step": 1200
|
| 97 |
+
},
|
| 98 |
+
{
|
| 99 |
+
"epoch": 3.03,
|
| 100 |
+
"eval_loss": 0.19836615025997162,
|
| 101 |
+
"eval_runtime": 613.5068,
|
| 102 |
+
"eval_samples_per_second": 8.43,
|
| 103 |
+
"eval_wer": 0.41406270428575165,
|
| 104 |
+
"step": 1200
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 3.28,
|
| 108 |
+
"learning_rate": 0.00027891036906854124,
|
| 109 |
+
"loss": NaN,
|
| 110 |
+
"step": 1300
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 3.53,
|
| 114 |
+
"learning_rate": 0.00027627416520210896,
|
| 115 |
+
"loss": NaN,
|
| 116 |
+
"step": 1400
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 3.79,
|
| 120 |
+
"learning_rate": 0.0002736379613356766,
|
| 121 |
+
"loss": NaN,
|
| 122 |
+
"step": 1500
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 4.04,
|
| 126 |
+
"learning_rate": 0.00027100175746924427,
|
| 127 |
+
"loss": NaN,
|
| 128 |
+
"step": 1600
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 4.04,
|
| 132 |
+
"eval_loss": 0.18502908945083618,
|
| 133 |
+
"eval_runtime": 614.3947,
|
| 134 |
+
"eval_samples_per_second": 8.418,
|
| 135 |
+
"eval_wer": 0.3799911094840886,
|
| 136 |
+
"step": 1600
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 4.29,
|
| 140 |
+
"learning_rate": 0.00026836555360281193,
|
| 141 |
+
"loss": NaN,
|
| 142 |
+
"step": 1700
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 4.54,
|
| 146 |
+
"learning_rate": 0.0002657293497363796,
|
| 147 |
+
"loss": NaN,
|
| 148 |
+
"step": 1800
|
| 149 |
+
},
|
| 150 |
+
{
|
| 151 |
+
"epoch": 4.8,
|
| 152 |
+
"learning_rate": 0.00026309314586994725,
|
| 153 |
+
"loss": NaN,
|
| 154 |
+
"step": 1900
|
| 155 |
+
},
|
| 156 |
+
{
|
| 157 |
+
"epoch": 5.05,
|
| 158 |
+
"learning_rate": 0.0002604569420035149,
|
| 159 |
+
"loss": NaN,
|
| 160 |
+
"step": 2000
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"epoch": 5.05,
|
| 164 |
+
"eval_loss": 0.16938243806362152,
|
| 165 |
+
"eval_runtime": 609.4739,
|
| 166 |
+
"eval_samples_per_second": 8.486,
|
| 167 |
+
"eval_wer": 0.36521716392542425,
|
| 168 |
+
"step": 2000
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"epoch": 5.3,
|
| 172 |
+
"learning_rate": 0.00025782073813708257,
|
| 173 |
+
"loss": NaN,
|
| 174 |
+
"step": 2100
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 5.55,
|
| 178 |
+
"learning_rate": 0.0002551845342706502,
|
| 179 |
+
"loss": NaN,
|
| 180 |
+
"step": 2200
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"epoch": 5.81,
|
| 184 |
+
"learning_rate": 0.00025254833040421794,
|
| 185 |
+
"loss": NaN,
|
| 186 |
+
"step": 2300
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 6.06,
|
| 190 |
+
"learning_rate": 0.00024991212653778554,
|
| 191 |
+
"loss": NaN,
|
| 192 |
+
"step": 2400
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 6.06,
|
| 196 |
+
"eval_loss": 0.17296069860458374,
|
| 197 |
+
"eval_runtime": 608.666,
|
| 198 |
+
"eval_samples_per_second": 8.497,
|
| 199 |
+
"eval_wer": 0.35112308134822057,
|
| 200 |
+
"step": 2400
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 6.31,
|
| 204 |
+
"learning_rate": 0.00024727592267135325,
|
| 205 |
+
"loss": NaN,
|
| 206 |
+
"step": 2500
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 6.56,
|
| 210 |
+
"learning_rate": 0.0002446397188049209,
|
| 211 |
+
"loss": NaN,
|
| 212 |
+
"step": 2600
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 6.82,
|
| 216 |
+
"learning_rate": 0.00024200351493848854,
|
| 217 |
+
"loss": NaN,
|
| 218 |
+
"step": 2700
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 7.07,
|
| 222 |
+
"learning_rate": 0.00023936731107205623,
|
| 223 |
+
"loss": NaN,
|
| 224 |
+
"step": 2800
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"epoch": 7.07,
|
| 228 |
+
"eval_loss": 0.17802052199840546,
|
| 229 |
+
"eval_runtime": 612.551,
|
| 230 |
+
"eval_samples_per_second": 8.443,
|
| 231 |
+
"eval_wer": 0.3466778233925163,
|
| 232 |
+
"step": 2800
|
| 233 |
+
},
|
| 234 |
+
{
|
| 235 |
+
"epoch": 7.32,
|
| 236 |
+
"learning_rate": 0.00023673110720562386,
|
| 237 |
+
"loss": NaN,
|
| 238 |
+
"step": 2900
|
| 239 |
+
},
|
| 240 |
+
{
|
| 241 |
+
"epoch": 7.58,
|
| 242 |
+
"learning_rate": 0.00023409490333919155,
|
| 243 |
+
"loss": NaN,
|
| 244 |
+
"step": 3000
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"epoch": 7.83,
|
| 248 |
+
"learning_rate": 0.0002314586994727592,
|
| 249 |
+
"loss": NaN,
|
| 250 |
+
"step": 3100
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"epoch": 8.08,
|
| 254 |
+
"learning_rate": 0.0002288224956063269,
|
| 255 |
+
"loss": NaN,
|
| 256 |
+
"step": 3200
|
| 257 |
+
},
|
| 258 |
+
{
|
| 259 |
+
"epoch": 8.08,
|
| 260 |
+
"eval_loss": 0.17137496173381805,
|
| 261 |
+
"eval_runtime": 621.5301,
|
| 262 |
+
"eval_samples_per_second": 8.321,
|
| 263 |
+
"eval_wer": 0.343304657061423,
|
| 264 |
+
"step": 3200
|
| 265 |
+
},
|
| 266 |
+
{
|
| 267 |
+
"epoch": 8.33,
|
| 268 |
+
"learning_rate": 0.00022618629173989452,
|
| 269 |
+
"loss": NaN,
|
| 270 |
+
"step": 3300
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"epoch": 8.59,
|
| 274 |
+
"learning_rate": 0.00022355008787346218,
|
| 275 |
+
"loss": NaN,
|
| 276 |
+
"step": 3400
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 8.84,
|
| 280 |
+
"learning_rate": 0.00022091388400702987,
|
| 281 |
+
"loss": NaN,
|
| 282 |
+
"step": 3500
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 9.09,
|
| 286 |
+
"learning_rate": 0.0002182776801405975,
|
| 287 |
+
"loss": NaN,
|
| 288 |
+
"step": 3600
|
| 289 |
+
},
|
| 290 |
+
{
|
| 291 |
+
"epoch": 9.09,
|
| 292 |
+
"eval_loss": 0.16793519258499146,
|
| 293 |
+
"eval_runtime": 613.7107,
|
| 294 |
+
"eval_samples_per_second": 8.427,
|
| 295 |
+
"eval_wer": 0.3368721073137568,
|
| 296 |
+
"step": 3600
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 9.34,
|
| 300 |
+
"learning_rate": 0.00021564147627416518,
|
| 301 |
+
"loss": NaN,
|
| 302 |
+
"step": 3700
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"epoch": 9.6,
|
| 306 |
+
"learning_rate": 0.00021300527240773284,
|
| 307 |
+
"loss": NaN,
|
| 308 |
+
"step": 3800
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 9.85,
|
| 312 |
+
"learning_rate": 0.00021036906854130053,
|
| 313 |
+
"loss": NaN,
|
| 314 |
+
"step": 3900
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 10.1,
|
| 318 |
+
"learning_rate": 0.00020773286467486816,
|
| 319 |
+
"loss": NaN,
|
| 320 |
+
"step": 4000
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 10.1,
|
| 324 |
+
"eval_loss": 0.165544793009758,
|
| 325 |
+
"eval_runtime": 616.3457,
|
| 326 |
+
"eval_samples_per_second": 8.391,
|
| 327 |
+
"eval_wer": 0.3317731349528018,
|
| 328 |
+
"step": 4000
|
| 329 |
+
},
|
| 330 |
+
{
|
| 331 |
+
"epoch": 10.35,
|
| 332 |
+
"learning_rate": 0.00020509666080843582,
|
| 333 |
+
"loss": NaN,
|
| 334 |
+
"step": 4100
|
| 335 |
+
},
|
| 336 |
+
{
|
| 337 |
+
"epoch": 10.61,
|
| 338 |
+
"learning_rate": 0.0002024604569420035,
|
| 339 |
+
"loss": NaN,
|
| 340 |
+
"step": 4200
|
| 341 |
+
},
|
| 342 |
+
{
|
| 343 |
+
"epoch": 10.86,
|
| 344 |
+
"learning_rate": 0.00019982425307557116,
|
| 345 |
+
"loss": NaN,
|
| 346 |
+
"step": 4300
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 11.11,
|
| 350 |
+
"learning_rate": 0.00019718804920913882,
|
| 351 |
+
"loss": NaN,
|
| 352 |
+
"step": 4400
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 11.11,
|
| 356 |
+
"eval_loss": 0.17516674101352692,
|
| 357 |
+
"eval_runtime": 616.3789,
|
| 358 |
+
"eval_samples_per_second": 8.391,
|
| 359 |
+
"eval_wer": 0.32222890463614257,
|
| 360 |
+
"step": 4400
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 11.36,
|
| 364 |
+
"learning_rate": 0.00019455184534270648,
|
| 365 |
+
"loss": NaN,
|
| 366 |
+
"step": 4500
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 11.62,
|
| 370 |
+
"learning_rate": 0.00019191564147627417,
|
| 371 |
+
"loss": NaN,
|
| 372 |
+
"step": 4600
|
| 373 |
+
},
|
| 374 |
+
{
|
| 375 |
+
"epoch": 11.87,
|
| 376 |
+
"learning_rate": 0.0001892794376098418,
|
| 377 |
+
"loss": NaN,
|
| 378 |
+
"step": 4700
|
| 379 |
+
},
|
| 380 |
+
{
|
| 381 |
+
"epoch": 12.12,
|
| 382 |
+
"learning_rate": 0.00018664323374340946,
|
| 383 |
+
"loss": NaN,
|
| 384 |
+
"step": 4800
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"epoch": 12.12,
|
| 388 |
+
"eval_loss": 0.18037526309490204,
|
| 389 |
+
"eval_runtime": 612.0676,
|
| 390 |
+
"eval_samples_per_second": 8.45,
|
| 391 |
+
"eval_wer": 0.3176790523755981,
|
| 392 |
+
"step": 4800
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"epoch": 12.37,
|
| 396 |
+
"learning_rate": 0.00018400702987697714,
|
| 397 |
+
"loss": NaN,
|
| 398 |
+
"step": 4900
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"epoch": 12.63,
|
| 402 |
+
"learning_rate": 0.0001813708260105448,
|
| 403 |
+
"loss": NaN,
|
| 404 |
+
"step": 5000
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 12.88,
|
| 408 |
+
"learning_rate": 0.00017873462214411246,
|
| 409 |
+
"loss": NaN,
|
| 410 |
+
"step": 5100
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 13.13,
|
| 414 |
+
"learning_rate": 0.00017609841827768012,
|
| 415 |
+
"loss": NaN,
|
| 416 |
+
"step": 5200
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 13.13,
|
| 420 |
+
"eval_loss": 0.1690378040075302,
|
| 421 |
+
"eval_runtime": 616.3617,
|
| 422 |
+
"eval_samples_per_second": 8.391,
|
| 423 |
+
"eval_wer": 0.31728682373244776,
|
| 424 |
+
"step": 5200
|
| 425 |
+
},
|
| 426 |
+
{
|
| 427 |
+
"epoch": 13.38,
|
| 428 |
+
"learning_rate": 0.0001734622144112478,
|
| 429 |
+
"loss": NaN,
|
| 430 |
+
"step": 5300
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 13.64,
|
| 434 |
+
"learning_rate": 0.00017082601054481546,
|
| 435 |
+
"loss": NaN,
|
| 436 |
+
"step": 5400
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 13.89,
|
| 440 |
+
"learning_rate": 0.0001681898066783831,
|
| 441 |
+
"loss": NaN,
|
| 442 |
+
"step": 5500
|
| 443 |
+
},
|
| 444 |
+
{
|
| 445 |
+
"epoch": 14.14,
|
| 446 |
+
"learning_rate": 0.00016555360281195078,
|
| 447 |
+
"loss": NaN,
|
| 448 |
+
"step": 5600
|
| 449 |
+
},
|
| 450 |
+
{
|
| 451 |
+
"epoch": 14.14,
|
| 452 |
+
"eval_loss": 0.17649142444133759,
|
| 453 |
+
"eval_runtime": 619.1476,
|
| 454 |
+
"eval_samples_per_second": 8.353,
|
| 455 |
+
"eval_wer": 0.31932641267682976,
|
| 456 |
+
"step": 5600
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"epoch": 14.39,
|
| 460 |
+
"learning_rate": 0.00016291739894551844,
|
| 461 |
+
"loss": NaN,
|
| 462 |
+
"step": 5700
|
| 463 |
+
},
|
| 464 |
+
{
|
| 465 |
+
"epoch": 14.65,
|
| 466 |
+
"learning_rate": 0.00016028119507908612,
|
| 467 |
+
"loss": NaN,
|
| 468 |
+
"step": 5800
|
| 469 |
+
},
|
| 470 |
+
{
|
| 471 |
+
"epoch": 14.9,
|
| 472 |
+
"learning_rate": 0.00015764499121265376,
|
| 473 |
+
"loss": NaN,
|
| 474 |
+
"step": 5900
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"epoch": 15.15,
|
| 478 |
+
"learning_rate": 0.00015500878734622144,
|
| 479 |
+
"loss": NaN,
|
| 480 |
+
"step": 6000
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 15.15,
|
| 484 |
+
"eval_loss": 0.17734038829803467,
|
| 485 |
+
"eval_runtime": 622.5524,
|
| 486 |
+
"eval_samples_per_second": 8.308,
|
| 487 |
+
"eval_wer": 0.3148288575687054,
|
| 488 |
+
"step": 6000
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 15.4,
|
| 492 |
+
"learning_rate": 0.0001523725834797891,
|
| 493 |
+
"loss": NaN,
|
| 494 |
+
"step": 6100
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 15.66,
|
| 498 |
+
"learning_rate": 0.00014973637961335676,
|
| 499 |
+
"loss": NaN,
|
| 500 |
+
"step": 6200
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 15.91,
|
| 504 |
+
"learning_rate": 0.00014710017574692442,
|
| 505 |
+
"loss": NaN,
|
| 506 |
+
"step": 6300
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 16.16,
|
| 510 |
+
"learning_rate": 0.00014446397188049208,
|
| 511 |
+
"loss": NaN,
|
| 512 |
+
"step": 6400
|
| 513 |
+
},
|
| 514 |
+
{
|
| 515 |
+
"epoch": 16.16,
|
| 516 |
+
"eval_loss": 0.187224343419075,
|
| 517 |
+
"eval_runtime": 615.2372,
|
| 518 |
+
"eval_samples_per_second": 8.407,
|
| 519 |
+
"eval_wer": 0.3136260230630442,
|
| 520 |
+
"step": 6400
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 16.41,
|
| 524 |
+
"learning_rate": 0.00014182776801405973,
|
| 525 |
+
"loss": NaN,
|
| 526 |
+
"step": 6500
|
| 527 |
+
},
|
| 528 |
+
{
|
| 529 |
+
"epoch": 16.67,
|
| 530 |
+
"learning_rate": 0.0001391915641476274,
|
| 531 |
+
"loss": NaN,
|
| 532 |
+
"step": 6600
|
| 533 |
+
},
|
| 534 |
+
{
|
| 535 |
+
"epoch": 16.92,
|
| 536 |
+
"learning_rate": 0.00013655536028119505,
|
| 537 |
+
"loss": NaN,
|
| 538 |
+
"step": 6700
|
| 539 |
+
},
|
| 540 |
+
{
|
| 541 |
+
"epoch": 17.17,
|
| 542 |
+
"learning_rate": 0.00013391915641476274,
|
| 543 |
+
"loss": NaN,
|
| 544 |
+
"step": 6800
|
| 545 |
+
},
|
| 546 |
+
{
|
| 547 |
+
"epoch": 17.17,
|
| 548 |
+
"eval_loss": 0.1843162626028061,
|
| 549 |
+
"eval_runtime": 620.0086,
|
| 550 |
+
"eval_samples_per_second": 8.342,
|
| 551 |
+
"eval_wer": 0.30912846795491983,
|
| 552 |
+
"step": 6800
|
| 553 |
+
},
|
| 554 |
+
{
|
| 555 |
+
"epoch": 17.42,
|
| 556 |
+
"learning_rate": 0.0001312829525483304,
|
| 557 |
+
"loss": NaN,
|
| 558 |
+
"step": 6900
|
| 559 |
+
},
|
| 560 |
+
{
|
| 561 |
+
"epoch": 17.68,
|
| 562 |
+
"learning_rate": 0.00012864674868189805,
|
| 563 |
+
"loss": NaN,
|
| 564 |
+
"step": 7000
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 17.93,
|
| 568 |
+
"learning_rate": 0.0001260105448154657,
|
| 569 |
+
"loss": NaN,
|
| 570 |
+
"step": 7100
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 18.18,
|
| 574 |
+
"learning_rate": 0.00012337434094903337,
|
| 575 |
+
"loss": NaN,
|
| 576 |
+
"step": 7200
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 18.18,
|
| 580 |
+
"eval_loss": 0.1754978895187378,
|
| 581 |
+
"eval_runtime": 616.3908,
|
| 582 |
+
"eval_samples_per_second": 8.391,
|
| 583 |
+
"eval_wer": 0.3102005595795309,
|
| 584 |
+
"step": 7200
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 18.43,
|
| 588 |
+
"learning_rate": 0.00012073813708260104,
|
| 589 |
+
"loss": NaN,
|
| 590 |
+
"step": 7300
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 18.69,
|
| 594 |
+
"learning_rate": 0.0001181019332161687,
|
| 595 |
+
"loss": NaN,
|
| 596 |
+
"step": 7400
|
| 597 |
+
},
|
| 598 |
+
{
|
| 599 |
+
"epoch": 18.94,
|
| 600 |
+
"learning_rate": 0.00011546572934973637,
|
| 601 |
+
"loss": NaN,
|
| 602 |
+
"step": 7500
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"epoch": 19.19,
|
| 606 |
+
"learning_rate": 0.00011282952548330403,
|
| 607 |
+
"loss": NaN,
|
| 608 |
+
"step": 7600
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 19.19,
|
| 612 |
+
"eval_loss": 0.18895429372787476,
|
| 613 |
+
"eval_runtime": 623.3336,
|
| 614 |
+
"eval_samples_per_second": 8.297,
|
| 615 |
+
"eval_wer": 0.30520618152341605,
|
| 616 |
+
"step": 7600
|
| 617 |
+
},
|
| 618 |
+
{
|
| 619 |
+
"epoch": 19.44,
|
| 620 |
+
"learning_rate": 0.0001101933216168717,
|
| 621 |
+
"loss": NaN,
|
| 622 |
+
"step": 7700
|
| 623 |
+
},
|
| 624 |
+
{
|
| 625 |
+
"epoch": 19.7,
|
| 626 |
+
"learning_rate": 0.00010755711775043936,
|
| 627 |
+
"loss": NaN,
|
| 628 |
+
"step": 7800
|
| 629 |
+
},
|
| 630 |
+
{
|
| 631 |
+
"epoch": 19.95,
|
| 632 |
+
"learning_rate": 0.00010492091388400701,
|
| 633 |
+
"loss": NaN,
|
| 634 |
+
"step": 7900
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"epoch": 20.2,
|
| 638 |
+
"learning_rate": 0.00010228471001757468,
|
| 639 |
+
"loss": NaN,
|
| 640 |
+
"step": 8000
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 20.2,
|
| 644 |
+
"eval_loss": 0.19008345901966095,
|
| 645 |
+
"eval_runtime": 614.7127,
|
| 646 |
+
"eval_samples_per_second": 8.414,
|
| 647 |
+
"eval_wer": 0.30334963261250425,
|
| 648 |
+
"step": 8000
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 20.45,
|
| 652 |
+
"learning_rate": 9.964850615114234e-05,
|
| 653 |
+
"loss": NaN,
|
| 654 |
+
"step": 8100
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 20.71,
|
| 658 |
+
"learning_rate": 9.701230228471001e-05,
|
| 659 |
+
"loss": NaN,
|
| 660 |
+
"step": 8200
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 20.96,
|
| 664 |
+
"learning_rate": 9.437609841827767e-05,
|
| 665 |
+
"loss": NaN,
|
| 666 |
+
"step": 8300
|
| 667 |
+
},
|
| 668 |
+
{
|
| 669 |
+
"epoch": 21.21,
|
| 670 |
+
"learning_rate": 9.173989455184534e-05,
|
| 671 |
+
"loss": NaN,
|
| 672 |
+
"step": 8400
|
| 673 |
+
},
|
| 674 |
+
{
|
| 675 |
+
"epoch": 21.21,
|
| 676 |
+
"eval_loss": 0.1935020387172699,
|
| 677 |
+
"eval_runtime": 619.5234,
|
| 678 |
+
"eval_samples_per_second": 8.348,
|
| 679 |
+
"eval_wer": 0.307193473315378,
|
| 680 |
+
"step": 8400
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"epoch": 21.46,
|
| 684 |
+
"learning_rate": 8.9103690685413e-05,
|
| 685 |
+
"loss": NaN,
|
| 686 |
+
"step": 8500
|
| 687 |
+
},
|
| 688 |
+
{
|
| 689 |
+
"epoch": 21.72,
|
| 690 |
+
"learning_rate": 8.646748681898065e-05,
|
| 691 |
+
"loss": NaN,
|
| 692 |
+
"step": 8600
|
| 693 |
+
},
|
| 694 |
+
{
|
| 695 |
+
"epoch": 21.97,
|
| 696 |
+
"learning_rate": 8.383128295254832e-05,
|
| 697 |
+
"loss": NaN,
|
| 698 |
+
"step": 8700
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 22.22,
|
| 702 |
+
"learning_rate": 8.119507908611598e-05,
|
| 703 |
+
"loss": NaN,
|
| 704 |
+
"step": 8800
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 22.22,
|
| 708 |
+
"eval_loss": 0.19641530513763428,
|
| 709 |
+
"eval_runtime": 611.6485,
|
| 710 |
+
"eval_samples_per_second": 8.456,
|
| 711 |
+
"eval_wer": 0.30502314148994586,
|
| 712 |
+
"step": 8800
|
| 713 |
+
},
|
| 714 |
+
{
|
| 715 |
+
"epoch": 22.47,
|
| 716 |
+
"learning_rate": 7.855887521968365e-05,
|
| 717 |
+
"loss": NaN,
|
| 718 |
+
"step": 8900
|
| 719 |
+
},
|
| 720 |
+
{
|
| 721 |
+
"epoch": 22.73,
|
| 722 |
+
"learning_rate": 7.592267135325131e-05,
|
| 723 |
+
"loss": NaN,
|
| 724 |
+
"step": 9000
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 22.98,
|
| 728 |
+
"learning_rate": 7.328646748681898e-05,
|
| 729 |
+
"loss": NaN,
|
| 730 |
+
"step": 9100
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 23.23,
|
| 734 |
+
"learning_rate": 7.065026362038664e-05,
|
| 735 |
+
"loss": NaN,
|
| 736 |
+
"step": 9200
|
| 737 |
+
},
|
| 738 |
+
{
|
| 739 |
+
"epoch": 23.23,
|
| 740 |
+
"eval_loss": 0.19613772630691528,
|
| 741 |
+
"eval_runtime": 613.3141,
|
| 742 |
+
"eval_samples_per_second": 8.433,
|
| 743 |
+
"eval_wer": 0.3008132207201318,
|
| 744 |
+
"step": 9200
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 23.48,
|
| 748 |
+
"learning_rate": 6.80140597539543e-05,
|
| 749 |
+
"loss": NaN,
|
| 750 |
+
"step": 9300
|
| 751 |
+
},
|
| 752 |
+
{
|
| 753 |
+
"epoch": 23.74,
|
| 754 |
+
"learning_rate": 6.537785588752197e-05,
|
| 755 |
+
"loss": NaN,
|
| 756 |
+
"step": 9400
|
| 757 |
+
},
|
| 758 |
+
{
|
| 759 |
+
"epoch": 23.99,
|
| 760 |
+
"learning_rate": 6.274165202108963e-05,
|
| 761 |
+
"loss": NaN,
|
| 762 |
+
"step": 9500
|
| 763 |
+
},
|
| 764 |
+
{
|
| 765 |
+
"epoch": 24.24,
|
| 766 |
+
"learning_rate": 6.0105448154657286e-05,
|
| 767 |
+
"loss": NaN,
|
| 768 |
+
"step": 9600
|
| 769 |
+
},
|
| 770 |
+
{
|
| 771 |
+
"epoch": 24.24,
|
| 772 |
+
"eval_loss": 0.18839870393276215,
|
| 773 |
+
"eval_runtime": 615.6693,
|
| 774 |
+
"eval_samples_per_second": 8.401,
|
| 775 |
+
"eval_wer": 0.29623721988337737,
|
| 776 |
+
"step": 9600
|
| 777 |
+
},
|
| 778 |
+
{
|
| 779 |
+
"epoch": 24.49,
|
| 780 |
+
"learning_rate": 5.746924428822495e-05,
|
| 781 |
+
"loss": NaN,
|
| 782 |
+
"step": 9700
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 24.75,
|
| 786 |
+
"learning_rate": 5.483304042179262e-05,
|
| 787 |
+
"loss": NaN,
|
| 788 |
+
"step": 9800
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 25.0,
|
| 792 |
+
"learning_rate": 5.2196836555360276e-05,
|
| 793 |
+
"loss": NaN,
|
| 794 |
+
"step": 9900
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 25.25,
|
| 798 |
+
"learning_rate": 4.956063268892794e-05,
|
| 799 |
+
"loss": NaN,
|
| 800 |
+
"step": 10000
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 25.25,
|
| 804 |
+
"eval_loss": 0.19206073880195618,
|
| 805 |
+
"eval_runtime": 610.6418,
|
| 806 |
+
"eval_samples_per_second": 8.47,
|
| 807 |
+
"eval_wer": 0.2963418141882175,
|
| 808 |
+
"step": 10000
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 25.5,
|
| 812 |
+
"learning_rate": 4.6924428822495606e-05,
|
| 813 |
+
"loss": NaN,
|
| 814 |
+
"step": 10100
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 25.76,
|
| 818 |
+
"learning_rate": 4.4288224956063265e-05,
|
| 819 |
+
"loss": NaN,
|
| 820 |
+
"step": 10200
|
| 821 |
+
},
|
| 822 |
+
{
|
| 823 |
+
"epoch": 26.01,
|
| 824 |
+
"learning_rate": 4.165202108963093e-05,
|
| 825 |
+
"loss": NaN,
|
| 826 |
+
"step": 10300
|
| 827 |
+
},
|
| 828 |
+
{
|
| 829 |
+
"epoch": 26.26,
|
| 830 |
+
"learning_rate": 3.901581722319859e-05,
|
| 831 |
+
"loss": NaN,
|
| 832 |
+
"step": 10400
|
| 833 |
+
},
|
| 834 |
+
{
|
| 835 |
+
"epoch": 26.26,
|
| 836 |
+
"eval_loss": 0.19253745675086975,
|
| 837 |
+
"eval_runtime": 622.5244,
|
| 838 |
+
"eval_samples_per_second": 8.308,
|
| 839 |
+
"eval_wer": 0.2921841905708234,
|
| 840 |
+
"step": 10400
|
| 841 |
+
},
|
| 842 |
+
{
|
| 843 |
+
"epoch": 26.51,
|
| 844 |
+
"learning_rate": 3.6379613356766254e-05,
|
| 845 |
+
"loss": NaN,
|
| 846 |
+
"step": 10500
|
| 847 |
+
},
|
| 848 |
+
{
|
| 849 |
+
"epoch": 26.77,
|
| 850 |
+
"learning_rate": 3.374340949033391e-05,
|
| 851 |
+
"loss": NaN,
|
| 852 |
+
"step": 10600
|
| 853 |
+
},
|
| 854 |
+
{
|
| 855 |
+
"epoch": 27.02,
|
| 856 |
+
"learning_rate": 3.110720562390158e-05,
|
| 857 |
+
"loss": NaN,
|
| 858 |
+
"step": 10700
|
| 859 |
+
},
|
| 860 |
+
{
|
| 861 |
+
"epoch": 27.27,
|
| 862 |
+
"learning_rate": 2.847100175746924e-05,
|
| 863 |
+
"loss": NaN,
|
| 864 |
+
"step": 10800
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 27.27,
|
| 868 |
+
"eval_loss": 0.19466331601142883,
|
| 869 |
+
"eval_runtime": 617.6765,
|
| 870 |
+
"eval_samples_per_second": 8.373,
|
| 871 |
+
"eval_wer": 0.292785607823654,
|
| 872 |
+
"step": 10800
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 27.52,
|
| 876 |
+
"learning_rate": 2.5834797891036906e-05,
|
| 877 |
+
"loss": NaN,
|
| 878 |
+
"step": 10900
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 27.78,
|
| 882 |
+
"learning_rate": 2.3198594024604568e-05,
|
| 883 |
+
"loss": NaN,
|
| 884 |
+
"step": 11000
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 28.03,
|
| 888 |
+
"learning_rate": 2.0562390158172233e-05,
|
| 889 |
+
"loss": NaN,
|
| 890 |
+
"step": 11100
|
| 891 |
+
},
|
| 892 |
+
{
|
| 893 |
+
"epoch": 28.28,
|
| 894 |
+
"learning_rate": 1.792618629173989e-05,
|
| 895 |
+
"loss": NaN,
|
| 896 |
+
"step": 11200
|
| 897 |
+
},
|
| 898 |
+
{
|
| 899 |
+
"epoch": 28.28,
|
| 900 |
+
"eval_loss": 0.1931692361831665,
|
| 901 |
+
"eval_runtime": 617.2527,
|
| 902 |
+
"eval_samples_per_second": 8.379,
|
| 903 |
+
"eval_wer": 0.29189655623251315,
|
| 904 |
+
"step": 11200
|
| 905 |
+
},
|
| 906 |
+
{
|
| 907 |
+
"epoch": 28.53,
|
| 908 |
+
"learning_rate": 1.5289982425307557e-05,
|
| 909 |
+
"loss": NaN,
|
| 910 |
+
"step": 11300
|
| 911 |
+
},
|
| 912 |
+
{
|
| 913 |
+
"epoch": 28.79,
|
| 914 |
+
"learning_rate": 1.2653778558875219e-05,
|
| 915 |
+
"loss": NaN,
|
| 916 |
+
"step": 11400
|
| 917 |
+
},
|
| 918 |
+
{
|
| 919 |
+
"epoch": 29.04,
|
| 920 |
+
"learning_rate": 1.0017574692442883e-05,
|
| 921 |
+
"loss": NaN,
|
| 922 |
+
"step": 11500
|
| 923 |
+
},
|
| 924 |
+
{
|
| 925 |
+
"epoch": 29.29,
|
| 926 |
+
"learning_rate": 7.381370826010544e-06,
|
| 927 |
+
"loss": NaN,
|
| 928 |
+
"step": 11600
|
| 929 |
+
},
|
| 930 |
+
{
|
| 931 |
+
"epoch": 29.29,
|
| 932 |
+
"eval_loss": 0.1954003870487213,
|
| 933 |
+
"eval_runtime": 617.8209,
|
| 934 |
+
"eval_samples_per_second": 8.371,
|
| 935 |
+
"eval_wer": 0.2904322359647517,
|
| 936 |
+
"step": 11600
|
| 937 |
+
},
|
| 938 |
+
{
|
| 939 |
+
"epoch": 29.54,
|
| 940 |
+
"learning_rate": 4.745166959578207e-06,
|
| 941 |
+
"loss": NaN,
|
| 942 |
+
"step": 11700
|
| 943 |
+
},
|
| 944 |
+
{
|
| 945 |
+
"epoch": 29.8,
|
| 946 |
+
"learning_rate": 2.1089630931458696e-06,
|
| 947 |
+
"loss": NaN,
|
| 948 |
+
"step": 11800
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 30.0,
|
| 952 |
+
"step": 11880,
|
| 953 |
+
"total_flos": 6.1923487227453555e+19,
|
| 954 |
+
"train_runtime": 56662.4324,
|
| 955 |
+
"train_samples_per_second": 0.21
|
| 956 |
+
}
|
| 957 |
+
],
|
| 958 |
+
"max_steps": 11880,
|
| 959 |
+
"num_train_epochs": 30,
|
| 960 |
+
"total_flos": 6.1923487227453555e+19,
|
| 961 |
+
"trial_name": null,
|
| 962 |
+
"trial_params": null
|
| 963 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:50fab4116f25a030f496149d1ebf5bba2adfc5863fd95a909a4c78b400cd9155
|
| 3 |
+
size 2351
|
vocab.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
| 1 |
+
{"i": 0, "t": 1, "b": 2, "n": 3, "q": 4, "a": 5, "d": 6, "o": 7, "r": 8, "h": 9, "x": 10, "y": 11, "ñ": 12, "f": 14, "í": 15, "e": 16, "z": 17, "g": 18, "j": 19, "v": 20, "p": 21, "l": 22, "m": 23, "s": 24, "c": 25, "w": 26, "k": 27, "u": 28, "|": 13, "[UNK]": 29, "[PAD]": 30}
|