Upload folder using huggingface_hub
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- telecom_marabert_large_full_pipeline/checkpoint-306/config.json +53 -0
- telecom_marabert_large_full_pipeline/checkpoint-306/model.safetensors +3 -0
- telecom_marabert_large_full_pipeline/checkpoint-306/optimizer.pt +3 -0
- telecom_marabert_large_full_pipeline/checkpoint-306/rng_state.pth +3 -0
- telecom_marabert_large_full_pipeline/checkpoint-306/scheduler.pt +3 -0
- telecom_marabert_large_full_pipeline/checkpoint-306/special_tokens_map.json +37 -0
- telecom_marabert_large_full_pipeline/checkpoint-306/tokenizer.json +0 -0
- telecom_marabert_large_full_pipeline/checkpoint-306/tokenizer_config.json +58 -0
- telecom_marabert_large_full_pipeline/checkpoint-306/trainer_state.json +271 -0
- telecom_marabert_large_full_pipeline/checkpoint-306/training_args.bin +3 -0
- telecom_marabert_large_full_pipeline/checkpoint-306/vocab.txt +0 -0
- telecom_marabert_large_full_pipeline/checkpoint-510/config.json +53 -0
- telecom_marabert_large_full_pipeline/checkpoint-510/model.safetensors +3 -0
- telecom_marabert_large_full_pipeline/checkpoint-510/optimizer.pt +3 -0
- telecom_marabert_large_full_pipeline/checkpoint-510/rng_state.pth +3 -0
- telecom_marabert_large_full_pipeline/checkpoint-510/scheduler.pt +3 -0
- telecom_marabert_large_full_pipeline/checkpoint-510/special_tokens_map.json +37 -0
- telecom_marabert_large_full_pipeline/checkpoint-510/tokenizer.json +0 -0
- telecom_marabert_large_full_pipeline/checkpoint-510/tokenizer_config.json +58 -0
- telecom_marabert_large_full_pipeline/checkpoint-510/trainer_state.json +423 -0
- telecom_marabert_large_full_pipeline/checkpoint-510/training_args.bin +3 -0
- telecom_marabert_large_full_pipeline/checkpoint-510/vocab.txt +0 -0
- telecom_marabert_large_full_pipeline/checkpoint-561/config.json +53 -0
- telecom_marabert_large_full_pipeline/checkpoint-561/model.safetensors +3 -0
- telecom_marabert_large_full_pipeline/checkpoint-561/optimizer.pt +3 -0
- telecom_marabert_large_full_pipeline/checkpoint-561/rng_state.pth +3 -0
- telecom_marabert_large_full_pipeline/checkpoint-561/scheduler.pt +3 -0
- telecom_marabert_large_full_pipeline/checkpoint-561/special_tokens_map.json +37 -0
- telecom_marabert_large_full_pipeline/checkpoint-561/tokenizer.json +0 -0
- telecom_marabert_large_full_pipeline/checkpoint-561/tokenizer_config.json +58 -0
- telecom_marabert_large_full_pipeline/checkpoint-561/trainer_state.json +461 -0
- telecom_marabert_large_full_pipeline/checkpoint-561/training_args.bin +3 -0
- telecom_marabert_large_full_pipeline/checkpoint-561/vocab.txt +0 -0
- telecom_marabert_large_full_pipeline/config.json +55 -0
- telecom_marabert_large_full_pipeline/model.safetensors +3 -0
- telecom_marabert_large_full_pipeline/special_tokens_map.json +37 -0
- telecom_marabert_large_full_pipeline/tokenizer.json +0 -0
- telecom_marabert_large_full_pipeline/tokenizer_config.json +58 -0
- telecom_marabert_large_full_pipeline/training_args.bin +3 -0
- telecom_marabert_large_full_pipeline/vocab.txt +0 -0
- telecom_marbertv2_cpt_ft/checkpoint-3500/config.json +54 -0
- telecom_marbertv2_cpt_ft/checkpoint-3500/model.safetensors +3 -0
- telecom_marbertv2_cpt_ft/checkpoint-3500/optimizer.pt +3 -0
- telecom_marbertv2_cpt_ft/checkpoint-3500/rng_state.pth +3 -0
- telecom_marbertv2_cpt_ft/checkpoint-3500/scheduler.pt +3 -0
- telecom_marbertv2_cpt_ft/checkpoint-3500/special_tokens_map.json +37 -0
- telecom_marbertv2_cpt_ft/checkpoint-3500/tokenizer.json +0 -0
- telecom_marbertv2_cpt_ft/checkpoint-3500/tokenizer_config.json +58 -0
- telecom_marbertv2_cpt_ft/checkpoint-3500/trainer_state.json +524 -0
- telecom_marbertv2_cpt_ft/checkpoint-3500/training_args.bin +3 -0
telecom_marabert_large_full_pipeline/checkpoint-306/config.json
ADDED
|
@@ -0,0 +1,53 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"BertForSequenceClassification"
|
| 4 |
+
],
|
| 5 |
+
"attention_probs_dropout_prob": 0.1,
|
| 6 |
+
"classifier_dropout": null,
|
| 7 |
+
"directionality": "bidi",
|
| 8 |
+
"dtype": "float32",
|
| 9 |
+
"gradient_checkpointing": false,
|
| 10 |
+
"hidden_act": "gelu",
|
| 11 |
+
"hidden_dropout_prob": 0.1,
|
| 12 |
+
"hidden_size": 768,
|
| 13 |
+
"id2label": {
|
| 14 |
+
"0": 1,
|
| 15 |
+
"1": 2,
|
| 16 |
+
"2": 3,
|
| 17 |
+
"3": 4,
|
| 18 |
+
"4": 5,
|
| 19 |
+
"5": 6,
|
| 20 |
+
"6": 7,
|
| 21 |
+
"7": 8,
|
| 22 |
+
"8": 9
|
| 23 |
+
},
|
| 24 |
+
"initializer_range": 0.02,
|
| 25 |
+
"intermediate_size": 3072,
|
| 26 |
+
"label2id": {
|
| 27 |
+
"1": 0,
|
| 28 |
+
"2": 1,
|
| 29 |
+
"3": 2,
|
| 30 |
+
"4": 3,
|
| 31 |
+
"5": 4,
|
| 32 |
+
"6": 5,
|
| 33 |
+
"7": 6,
|
| 34 |
+
"8": 7,
|
| 35 |
+
"9": 8
|
| 36 |
+
},
|
| 37 |
+
"layer_norm_eps": 1e-12,
|
| 38 |
+
"max_position_embeddings": 512,
|
| 39 |
+
"model_type": "bert",
|
| 40 |
+
"num_attention_heads": 12,
|
| 41 |
+
"num_hidden_layers": 12,
|
| 42 |
+
"pad_token_id": 0,
|
| 43 |
+
"pooler_fc_size": 768,
|
| 44 |
+
"pooler_num_attention_heads": 12,
|
| 45 |
+
"pooler_num_fc_layers": 3,
|
| 46 |
+
"pooler_size_per_head": 128,
|
| 47 |
+
"pooler_type": "first_token_transform",
|
| 48 |
+
"position_embedding_type": "absolute",
|
| 49 |
+
"transformers_version": "4.57.3",
|
| 50 |
+
"type_vocab_size": 2,
|
| 51 |
+
"use_cache": true,
|
| 52 |
+
"vocab_size": 100000
|
| 53 |
+
}
|
telecom_marabert_large_full_pipeline/checkpoint-306/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a3bf93c2e7faae9340d928e41440193d5bb83b0ea4d4d8db23f0665daa351c9a
|
| 3 |
+
size 651416604
|
telecom_marabert_large_full_pipeline/checkpoint-306/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c88585a880caceeb42539d447fe0e0d8692e38284d60d47b5fec899949f109df
|
| 3 |
+
size 1302957451
|
telecom_marabert_large_full_pipeline/checkpoint-306/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6e92e2dcc5d295c21cc9aa0879f8086bf662538a036a133a73c5d00d8d81bcb8
|
| 3 |
+
size 14645
|
telecom_marabert_large_full_pipeline/checkpoint-306/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fa09c32451d4afc38682702ea79f3548b6c08816feab91a46088a926b1d8f2b0
|
| 3 |
+
size 1465
|
telecom_marabert_large_full_pipeline/checkpoint-306/special_tokens_map.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"cls_token": {
|
| 3 |
+
"content": "[CLS]",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"mask_token": {
|
| 10 |
+
"content": "[MASK]",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "[PAD]",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"sep_token": {
|
| 24 |
+
"content": "[SEP]",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"unk_token": {
|
| 31 |
+
"content": "[UNK]",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
}
|
| 37 |
+
}
|
telecom_marabert_large_full_pipeline/checkpoint-306/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
telecom_marabert_large_full_pipeline/checkpoint-306/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": "[UNK]",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "[CLS]",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"3": {
|
| 28 |
+
"content": "[SEP]",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"4": {
|
| 36 |
+
"content": "[MASK]",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"clean_up_tokenization_spaces": true,
|
| 45 |
+
"cls_token": "[CLS]",
|
| 46 |
+
"do_basic_tokenize": true,
|
| 47 |
+
"do_lower_case": true,
|
| 48 |
+
"extra_special_tokens": {},
|
| 49 |
+
"mask_token": "[MASK]",
|
| 50 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 51 |
+
"never_split": null,
|
| 52 |
+
"pad_token": "[PAD]",
|
| 53 |
+
"sep_token": "[SEP]",
|
| 54 |
+
"strip_accents": null,
|
| 55 |
+
"tokenize_chinese_chars": true,
|
| 56 |
+
"tokenizer_class": "BertTokenizer",
|
| 57 |
+
"unk_token": "[UNK]"
|
| 58 |
+
}
|
telecom_marabert_large_full_pipeline/checkpoint-306/trainer_state.json
ADDED
|
@@ -0,0 +1,271 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 306,
|
| 3 |
+
"best_metric": 0.9036424022837064,
|
| 4 |
+
"best_model_checkpoint": "./telecom_marabert_large_full_pipeline/checkpoint-306",
|
| 5 |
+
"epoch": 6.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 306,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.49504950495049505,
|
| 14 |
+
"grad_norm": 1.8976224660873413,
|
| 15 |
+
"learning_rate": 1.5686274509803923e-06,
|
| 16 |
+
"loss": 2.1865,
|
| 17 |
+
"step": 25
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.9900990099009901,
|
| 21 |
+
"grad_norm": 1.939752459526062,
|
| 22 |
+
"learning_rate": 3.2026143790849674e-06,
|
| 23 |
+
"loss": 2.1373,
|
| 24 |
+
"step": 50
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 1.0,
|
| 28 |
+
"eval_accuracy": 0.4222222222222222,
|
| 29 |
+
"eval_f1_class_1": 0.8888888888888888,
|
| 30 |
+
"eval_f1_class_2": 0.2222222222222222,
|
| 31 |
+
"eval_f1_class_3": 0.0,
|
| 32 |
+
"eval_f1_class_4": 0.0,
|
| 33 |
+
"eval_f1_class_5": 0.0,
|
| 34 |
+
"eval_f1_class_6": 0.0,
|
| 35 |
+
"eval_f1_class_7": 0.9565217391304348,
|
| 36 |
+
"eval_f1_class_8": 0.43137254901960786,
|
| 37 |
+
"eval_f1_class_9": 0.38016528925619836,
|
| 38 |
+
"eval_f1_macro": 0.3199078542797058,
|
| 39 |
+
"eval_f1_weighted": 0.3570860377261989,
|
| 40 |
+
"eval_loss": 2.050368070602417,
|
| 41 |
+
"eval_precision_macro": 0.32134458721760306,
|
| 42 |
+
"eval_precision_weighted": 0.3565318720080625,
|
| 43 |
+
"eval_recall_macro": 0.375,
|
| 44 |
+
"eval_recall_weighted": 0.4222222222222222,
|
| 45 |
+
"eval_runtime": 0.4171,
|
| 46 |
+
"eval_samples_per_second": 431.574,
|
| 47 |
+
"eval_steps_per_second": 14.386,
|
| 48 |
+
"step": 51
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"epoch": 1.4752475247524752,
|
| 52 |
+
"grad_norm": 2.7972664833068848,
|
| 53 |
+
"learning_rate": 4.836601307189543e-06,
|
| 54 |
+
"loss": 2.0164,
|
| 55 |
+
"step": 75
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"epoch": 1.9702970297029703,
|
| 59 |
+
"grad_norm": 2.76436185836792,
|
| 60 |
+
"learning_rate": 6.470588235294119e-06,
|
| 61 |
+
"loss": 1.8001,
|
| 62 |
+
"step": 100
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 2.0,
|
| 66 |
+
"eval_accuracy": 0.8777777777777778,
|
| 67 |
+
"eval_f1_class_1": 1.0,
|
| 68 |
+
"eval_f1_class_2": 0.7567567567567568,
|
| 69 |
+
"eval_f1_class_3": 0.972972972972973,
|
| 70 |
+
"eval_f1_class_4": 0.8837209302325582,
|
| 71 |
+
"eval_f1_class_5": 0.8888888888888888,
|
| 72 |
+
"eval_f1_class_6": 0.6428571428571429,
|
| 73 |
+
"eval_f1_class_7": 0.96,
|
| 74 |
+
"eval_f1_class_8": 0.7755102040816326,
|
| 75 |
+
"eval_f1_class_9": 0.9387755102040817,
|
| 76 |
+
"eval_f1_macro": 0.8688313784437816,
|
| 77 |
+
"eval_f1_weighted": 0.8723569380169602,
|
| 78 |
+
"eval_loss": 1.5676754713058472,
|
| 79 |
+
"eval_precision_macro": 0.8769592612559364,
|
| 80 |
+
"eval_precision_weighted": 0.876579307875983,
|
| 81 |
+
"eval_recall_macro": 0.8712804195002337,
|
| 82 |
+
"eval_recall_weighted": 0.8777777777777778,
|
| 83 |
+
"eval_runtime": 0.3929,
|
| 84 |
+
"eval_samples_per_second": 458.187,
|
| 85 |
+
"eval_steps_per_second": 15.273,
|
| 86 |
+
"step": 102
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 2.4554455445544554,
|
| 90 |
+
"grad_norm": 3.865165948867798,
|
| 91 |
+
"learning_rate": 8.104575163398693e-06,
|
| 92 |
+
"loss": 1.5567,
|
| 93 |
+
"step": 125
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 2.9504950495049505,
|
| 97 |
+
"grad_norm": 3.0548179149627686,
|
| 98 |
+
"learning_rate": 9.738562091503268e-06,
|
| 99 |
+
"loss": 1.3614,
|
| 100 |
+
"step": 150
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 3.0,
|
| 104 |
+
"eval_accuracy": 0.9055555555555556,
|
| 105 |
+
"eval_f1_class_1": 1.0,
|
| 106 |
+
"eval_f1_class_2": 0.8292682926829268,
|
| 107 |
+
"eval_f1_class_3": 0.972972972972973,
|
| 108 |
+
"eval_f1_class_4": 0.926829268292683,
|
| 109 |
+
"eval_f1_class_5": 0.8888888888888888,
|
| 110 |
+
"eval_f1_class_6": 0.6896551724137931,
|
| 111 |
+
"eval_f1_class_7": 0.96,
|
| 112 |
+
"eval_f1_class_8": 0.851063829787234,
|
| 113 |
+
"eval_f1_class_9": 0.9583333333333334,
|
| 114 |
+
"eval_f1_macro": 0.8974457509302035,
|
| 115 |
+
"eval_f1_weighted": 0.9021962765230499,
|
| 116 |
+
"eval_loss": 1.1128010749816895,
|
| 117 |
+
"eval_precision_macro": 0.9019337828033481,
|
| 118 |
+
"eval_precision_weighted": 0.9043258303693086,
|
| 119 |
+
"eval_recall_macro": 0.8991126635089484,
|
| 120 |
+
"eval_recall_weighted": 0.9055555555555556,
|
| 121 |
+
"eval_runtime": 0.3913,
|
| 122 |
+
"eval_samples_per_second": 460.034,
|
| 123 |
+
"eval_steps_per_second": 15.334,
|
| 124 |
+
"step": 153
|
| 125 |
+
},
|
| 126 |
+
{
|
| 127 |
+
"epoch": 3.4356435643564356,
|
| 128 |
+
"grad_norm": 5.272692680358887,
|
| 129 |
+
"learning_rate": 9.847494553376908e-06,
|
| 130 |
+
"loss": 1.1806,
|
| 131 |
+
"step": 175
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"epoch": 3.9306930693069306,
|
| 135 |
+
"grad_norm": 7.215332984924316,
|
| 136 |
+
"learning_rate": 9.665940450254176e-06,
|
| 137 |
+
"loss": 1.0304,
|
| 138 |
+
"step": 200
|
| 139 |
+
},
|
| 140 |
+
{
|
| 141 |
+
"epoch": 4.0,
|
| 142 |
+
"eval_accuracy": 0.9,
|
| 143 |
+
"eval_f1_class_1": 1.0,
|
| 144 |
+
"eval_f1_class_2": 0.7804878048780488,
|
| 145 |
+
"eval_f1_class_3": 1.0,
|
| 146 |
+
"eval_f1_class_4": 0.926829268292683,
|
| 147 |
+
"eval_f1_class_5": 0.88,
|
| 148 |
+
"eval_f1_class_6": 0.64,
|
| 149 |
+
"eval_f1_class_7": 0.9795918367346939,
|
| 150 |
+
"eval_f1_class_8": 0.8301886792452831,
|
| 151 |
+
"eval_f1_class_9": 0.9583333333333334,
|
| 152 |
+
"eval_f1_macro": 0.8883812136093379,
|
| 153 |
+
"eval_f1_weighted": 0.8941263361866708,
|
| 154 |
+
"eval_loss": 0.8936125636100769,
|
| 155 |
+
"eval_precision_macro": 0.9135504469987228,
|
| 156 |
+
"eval_precision_weighted": 0.9092049808429119,
|
| 157 |
+
"eval_recall_macro": 0.8870454164571812,
|
| 158 |
+
"eval_recall_weighted": 0.9,
|
| 159 |
+
"eval_runtime": 0.3826,
|
| 160 |
+
"eval_samples_per_second": 470.424,
|
| 161 |
+
"eval_steps_per_second": 15.681,
|
| 162 |
+
"step": 204
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"epoch": 4.415841584158416,
|
| 166 |
+
"grad_norm": 4.240860939025879,
|
| 167 |
+
"learning_rate": 9.484386347131446e-06,
|
| 168 |
+
"loss": 0.926,
|
| 169 |
+
"step": 225
|
| 170 |
+
},
|
| 171 |
+
{
|
| 172 |
+
"epoch": 4.910891089108911,
|
| 173 |
+
"grad_norm": 7.547500133514404,
|
| 174 |
+
"learning_rate": 9.302832244008714e-06,
|
| 175 |
+
"loss": 0.8455,
|
| 176 |
+
"step": 250
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 5.0,
|
| 180 |
+
"eval_accuracy": 0.8944444444444445,
|
| 181 |
+
"eval_f1_class_1": 0.975609756097561,
|
| 182 |
+
"eval_f1_class_2": 0.7619047619047619,
|
| 183 |
+
"eval_f1_class_3": 0.9444444444444444,
|
| 184 |
+
"eval_f1_class_4": 0.9,
|
| 185 |
+
"eval_f1_class_5": 0.8888888888888888,
|
| 186 |
+
"eval_f1_class_6": 0.7142857142857143,
|
| 187 |
+
"eval_f1_class_7": 0.96,
|
| 188 |
+
"eval_f1_class_8": 0.875,
|
| 189 |
+
"eval_f1_class_9": 0.9583333333333334,
|
| 190 |
+
"eval_f1_macro": 0.8864963221060782,
|
| 191 |
+
"eval_f1_weighted": 0.8915267453865015,
|
| 192 |
+
"eval_loss": 0.7933213710784912,
|
| 193 |
+
"eval_precision_macro": 0.895996040996041,
|
| 194 |
+
"eval_precision_weighted": 0.8972462352462351,
|
| 195 |
+
"eval_recall_macro": 0.8867832288110926,
|
| 196 |
+
"eval_recall_weighted": 0.8944444444444445,
|
| 197 |
+
"eval_runtime": 0.377,
|
| 198 |
+
"eval_samples_per_second": 477.469,
|
| 199 |
+
"eval_steps_per_second": 15.916,
|
| 200 |
+
"step": 255
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 5.396039603960396,
|
| 204 |
+
"grad_norm": 6.939261436462402,
|
| 205 |
+
"learning_rate": 9.121278140885986e-06,
|
| 206 |
+
"loss": 0.7949,
|
| 207 |
+
"step": 275
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 5.891089108910891,
|
| 211 |
+
"grad_norm": 4.395618915557861,
|
| 212 |
+
"learning_rate": 8.939724037763254e-06,
|
| 213 |
+
"loss": 0.7405,
|
| 214 |
+
"step": 300
|
| 215 |
+
},
|
| 216 |
+
{
|
| 217 |
+
"epoch": 6.0,
|
| 218 |
+
"eval_accuracy": 0.9055555555555556,
|
| 219 |
+
"eval_f1_class_1": 1.0,
|
| 220 |
+
"eval_f1_class_2": 0.7727272727272727,
|
| 221 |
+
"eval_f1_class_3": 1.0,
|
| 222 |
+
"eval_f1_class_4": 0.95,
|
| 223 |
+
"eval_f1_class_5": 0.9230769230769231,
|
| 224 |
+
"eval_f1_class_6": 0.6666666666666666,
|
| 225 |
+
"eval_f1_class_7": 1.0,
|
| 226 |
+
"eval_f1_class_8": 0.8260869565217391,
|
| 227 |
+
"eval_f1_class_9": 0.9583333333333334,
|
| 228 |
+
"eval_f1_macro": 0.8996545724806596,
|
| 229 |
+
"eval_f1_weighted": 0.9036424022837064,
|
| 230 |
+
"eval_loss": 0.7440095543861389,
|
| 231 |
+
"eval_precision_macro": 0.9038085988085989,
|
| 232 |
+
"eval_precision_weighted": 0.9062825692825692,
|
| 233 |
+
"eval_recall_macro": 0.900330987095693,
|
| 234 |
+
"eval_recall_weighted": 0.9055555555555556,
|
| 235 |
+
"eval_runtime": 0.3904,
|
| 236 |
+
"eval_samples_per_second": 461.066,
|
| 237 |
+
"eval_steps_per_second": 15.369,
|
| 238 |
+
"step": 306
|
| 239 |
+
}
|
| 240 |
+
],
|
| 241 |
+
"logging_steps": 25,
|
| 242 |
+
"max_steps": 1530,
|
| 243 |
+
"num_input_tokens_seen": 0,
|
| 244 |
+
"num_train_epochs": 30,
|
| 245 |
+
"save_steps": 500,
|
| 246 |
+
"stateful_callbacks": {
|
| 247 |
+
"EarlyStoppingCallback": {
|
| 248 |
+
"args": {
|
| 249 |
+
"early_stopping_patience": 5,
|
| 250 |
+
"early_stopping_threshold": 0.001
|
| 251 |
+
},
|
| 252 |
+
"attributes": {
|
| 253 |
+
"early_stopping_patience_counter": 0
|
| 254 |
+
}
|
| 255 |
+
},
|
| 256 |
+
"TrainerControl": {
|
| 257 |
+
"args": {
|
| 258 |
+
"should_epoch_stop": false,
|
| 259 |
+
"should_evaluate": false,
|
| 260 |
+
"should_log": false,
|
| 261 |
+
"should_save": true,
|
| 262 |
+
"should_training_stop": false
|
| 263 |
+
},
|
| 264 |
+
"attributes": {}
|
| 265 |
+
}
|
| 266 |
+
},
|
| 267 |
+
"total_flos": 1271695651826688.0,
|
| 268 |
+
"train_batch_size": 16,
|
| 269 |
+
"trial_name": null,
|
| 270 |
+
"trial_params": null
|
| 271 |
+
}
|
telecom_marabert_large_full_pipeline/checkpoint-306/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f988eeda8a1fc14cbf1fe7dca7e292179f39245156399c748eeca11dad745279
|
| 3 |
+
size 5905
|
telecom_marabert_large_full_pipeline/checkpoint-306/vocab.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
telecom_marabert_large_full_pipeline/checkpoint-510/config.json
ADDED
|
@@ -0,0 +1,53 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"BertForSequenceClassification"
|
| 4 |
+
],
|
| 5 |
+
"attention_probs_dropout_prob": 0.1,
|
| 6 |
+
"classifier_dropout": null,
|
| 7 |
+
"directionality": "bidi",
|
| 8 |
+
"dtype": "float32",
|
| 9 |
+
"gradient_checkpointing": false,
|
| 10 |
+
"hidden_act": "gelu",
|
| 11 |
+
"hidden_dropout_prob": 0.1,
|
| 12 |
+
"hidden_size": 768,
|
| 13 |
+
"id2label": {
|
| 14 |
+
"0": 1,
|
| 15 |
+
"1": 2,
|
| 16 |
+
"2": 3,
|
| 17 |
+
"3": 4,
|
| 18 |
+
"4": 5,
|
| 19 |
+
"5": 6,
|
| 20 |
+
"6": 7,
|
| 21 |
+
"7": 8,
|
| 22 |
+
"8": 9
|
| 23 |
+
},
|
| 24 |
+
"initializer_range": 0.02,
|
| 25 |
+
"intermediate_size": 3072,
|
| 26 |
+
"label2id": {
|
| 27 |
+
"1": 0,
|
| 28 |
+
"2": 1,
|
| 29 |
+
"3": 2,
|
| 30 |
+
"4": 3,
|
| 31 |
+
"5": 4,
|
| 32 |
+
"6": 5,
|
| 33 |
+
"7": 6,
|
| 34 |
+
"8": 7,
|
| 35 |
+
"9": 8
|
| 36 |
+
},
|
| 37 |
+
"layer_norm_eps": 1e-12,
|
| 38 |
+
"max_position_embeddings": 512,
|
| 39 |
+
"model_type": "bert",
|
| 40 |
+
"num_attention_heads": 12,
|
| 41 |
+
"num_hidden_layers": 12,
|
| 42 |
+
"pad_token_id": 0,
|
| 43 |
+
"pooler_fc_size": 768,
|
| 44 |
+
"pooler_num_attention_heads": 12,
|
| 45 |
+
"pooler_num_fc_layers": 3,
|
| 46 |
+
"pooler_size_per_head": 128,
|
| 47 |
+
"pooler_type": "first_token_transform",
|
| 48 |
+
"position_embedding_type": "absolute",
|
| 49 |
+
"transformers_version": "4.57.3",
|
| 50 |
+
"type_vocab_size": 2,
|
| 51 |
+
"use_cache": true,
|
| 52 |
+
"vocab_size": 100000
|
| 53 |
+
}
|
telecom_marabert_large_full_pipeline/checkpoint-510/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7d7b7d1afd5fac889130f20f6431f75351392d805881f3e90bfad94e2edf6f30
|
| 3 |
+
size 651416604
|
telecom_marabert_large_full_pipeline/checkpoint-510/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b5b361e1b5b6f8bf028956269943121feee160c5cc6613c7b650102f43eec5a1
|
| 3 |
+
size 1302957451
|
telecom_marabert_large_full_pipeline/checkpoint-510/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:63318b574675192537283918cbdb2e0438735fa8b9850588e9d1cecc374bb37c
|
| 3 |
+
size 14645
|
telecom_marabert_large_full_pipeline/checkpoint-510/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:09bab529778f79d8de23a01f2c591c9d1a9d2d6426f4d98745f818c1b69f1ca0
|
| 3 |
+
size 1465
|
telecom_marabert_large_full_pipeline/checkpoint-510/special_tokens_map.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"cls_token": {
|
| 3 |
+
"content": "[CLS]",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"mask_token": {
|
| 10 |
+
"content": "[MASK]",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "[PAD]",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"sep_token": {
|
| 24 |
+
"content": "[SEP]",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"unk_token": {
|
| 31 |
+
"content": "[UNK]",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
}
|
| 37 |
+
}
|
telecom_marabert_large_full_pipeline/checkpoint-510/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
telecom_marabert_large_full_pipeline/checkpoint-510/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": "[UNK]",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "[CLS]",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"3": {
|
| 28 |
+
"content": "[SEP]",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"4": {
|
| 36 |
+
"content": "[MASK]",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"clean_up_tokenization_spaces": true,
|
| 45 |
+
"cls_token": "[CLS]",
|
| 46 |
+
"do_basic_tokenize": true,
|
| 47 |
+
"do_lower_case": true,
|
| 48 |
+
"extra_special_tokens": {},
|
| 49 |
+
"mask_token": "[MASK]",
|
| 50 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 51 |
+
"never_split": null,
|
| 52 |
+
"pad_token": "[PAD]",
|
| 53 |
+
"sep_token": "[SEP]",
|
| 54 |
+
"strip_accents": null,
|
| 55 |
+
"tokenize_chinese_chars": true,
|
| 56 |
+
"tokenizer_class": "BertTokenizer",
|
| 57 |
+
"unk_token": "[UNK]"
|
| 58 |
+
}
|
telecom_marabert_large_full_pipeline/checkpoint-510/trainer_state.json
ADDED
|
@@ -0,0 +1,423 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 306,
|
| 3 |
+
"best_metric": 0.9036424022837064,
|
| 4 |
+
"best_model_checkpoint": "./telecom_marabert_large_full_pipeline/checkpoint-306",
|
| 5 |
+
"epoch": 10.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 510,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.49504950495049505,
|
| 14 |
+
"grad_norm": 1.8976224660873413,
|
| 15 |
+
"learning_rate": 1.5686274509803923e-06,
|
| 16 |
+
"loss": 2.1865,
|
| 17 |
+
"step": 25
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.9900990099009901,
|
| 21 |
+
"grad_norm": 1.939752459526062,
|
| 22 |
+
"learning_rate": 3.2026143790849674e-06,
|
| 23 |
+
"loss": 2.1373,
|
| 24 |
+
"step": 50
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 1.0,
|
| 28 |
+
"eval_accuracy": 0.4222222222222222,
|
| 29 |
+
"eval_f1_class_1": 0.8888888888888888,
|
| 30 |
+
"eval_f1_class_2": 0.2222222222222222,
|
| 31 |
+
"eval_f1_class_3": 0.0,
|
| 32 |
+
"eval_f1_class_4": 0.0,
|
| 33 |
+
"eval_f1_class_5": 0.0,
|
| 34 |
+
"eval_f1_class_6": 0.0,
|
| 35 |
+
"eval_f1_class_7": 0.9565217391304348,
|
| 36 |
+
"eval_f1_class_8": 0.43137254901960786,
|
| 37 |
+
"eval_f1_class_9": 0.38016528925619836,
|
| 38 |
+
"eval_f1_macro": 0.3199078542797058,
|
| 39 |
+
"eval_f1_weighted": 0.3570860377261989,
|
| 40 |
+
"eval_loss": 2.050368070602417,
|
| 41 |
+
"eval_precision_macro": 0.32134458721760306,
|
| 42 |
+
"eval_precision_weighted": 0.3565318720080625,
|
| 43 |
+
"eval_recall_macro": 0.375,
|
| 44 |
+
"eval_recall_weighted": 0.4222222222222222,
|
| 45 |
+
"eval_runtime": 0.4171,
|
| 46 |
+
"eval_samples_per_second": 431.574,
|
| 47 |
+
"eval_steps_per_second": 14.386,
|
| 48 |
+
"step": 51
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"epoch": 1.4752475247524752,
|
| 52 |
+
"grad_norm": 2.7972664833068848,
|
| 53 |
+
"learning_rate": 4.836601307189543e-06,
|
| 54 |
+
"loss": 2.0164,
|
| 55 |
+
"step": 75
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"epoch": 1.9702970297029703,
|
| 59 |
+
"grad_norm": 2.76436185836792,
|
| 60 |
+
"learning_rate": 6.470588235294119e-06,
|
| 61 |
+
"loss": 1.8001,
|
| 62 |
+
"step": 100
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 2.0,
|
| 66 |
+
"eval_accuracy": 0.8777777777777778,
|
| 67 |
+
"eval_f1_class_1": 1.0,
|
| 68 |
+
"eval_f1_class_2": 0.7567567567567568,
|
| 69 |
+
"eval_f1_class_3": 0.972972972972973,
|
| 70 |
+
"eval_f1_class_4": 0.8837209302325582,
|
| 71 |
+
"eval_f1_class_5": 0.8888888888888888,
|
| 72 |
+
"eval_f1_class_6": 0.6428571428571429,
|
| 73 |
+
"eval_f1_class_7": 0.96,
|
| 74 |
+
"eval_f1_class_8": 0.7755102040816326,
|
| 75 |
+
"eval_f1_class_9": 0.9387755102040817,
|
| 76 |
+
"eval_f1_macro": 0.8688313784437816,
|
| 77 |
+
"eval_f1_weighted": 0.8723569380169602,
|
| 78 |
+
"eval_loss": 1.5676754713058472,
|
| 79 |
+
"eval_precision_macro": 0.8769592612559364,
|
| 80 |
+
"eval_precision_weighted": 0.876579307875983,
|
| 81 |
+
"eval_recall_macro": 0.8712804195002337,
|
| 82 |
+
"eval_recall_weighted": 0.8777777777777778,
|
| 83 |
+
"eval_runtime": 0.3929,
|
| 84 |
+
"eval_samples_per_second": 458.187,
|
| 85 |
+
"eval_steps_per_second": 15.273,
|
| 86 |
+
"step": 102
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 2.4554455445544554,
|
| 90 |
+
"grad_norm": 3.865165948867798,
|
| 91 |
+
"learning_rate": 8.104575163398693e-06,
|
| 92 |
+
"loss": 1.5567,
|
| 93 |
+
"step": 125
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 2.9504950495049505,
|
| 97 |
+
"grad_norm": 3.0548179149627686,
|
| 98 |
+
"learning_rate": 9.738562091503268e-06,
|
| 99 |
+
"loss": 1.3614,
|
| 100 |
+
"step": 150
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 3.0,
|
| 104 |
+
"eval_accuracy": 0.9055555555555556,
|
| 105 |
+
"eval_f1_class_1": 1.0,
|
| 106 |
+
"eval_f1_class_2": 0.8292682926829268,
|
| 107 |
+
"eval_f1_class_3": 0.972972972972973,
|
| 108 |
+
"eval_f1_class_4": 0.926829268292683,
|
| 109 |
+
"eval_f1_class_5": 0.8888888888888888,
|
| 110 |
+
"eval_f1_class_6": 0.6896551724137931,
|
| 111 |
+
"eval_f1_class_7": 0.96,
|
| 112 |
+
"eval_f1_class_8": 0.851063829787234,
|
| 113 |
+
"eval_f1_class_9": 0.9583333333333334,
|
| 114 |
+
"eval_f1_macro": 0.8974457509302035,
|
| 115 |
+
"eval_f1_weighted": 0.9021962765230499,
|
| 116 |
+
"eval_loss": 1.1128010749816895,
|
| 117 |
+
"eval_precision_macro": 0.9019337828033481,
|
| 118 |
+
"eval_precision_weighted": 0.9043258303693086,
|
| 119 |
+
"eval_recall_macro": 0.8991126635089484,
|
| 120 |
+
"eval_recall_weighted": 0.9055555555555556,
|
| 121 |
+
"eval_runtime": 0.3913,
|
| 122 |
+
"eval_samples_per_second": 460.034,
|
| 123 |
+
"eval_steps_per_second": 15.334,
|
| 124 |
+
"step": 153
|
| 125 |
+
},
|
| 126 |
+
{
|
| 127 |
+
"epoch": 3.4356435643564356,
|
| 128 |
+
"grad_norm": 5.272692680358887,
|
| 129 |
+
"learning_rate": 9.847494553376908e-06,
|
| 130 |
+
"loss": 1.1806,
|
| 131 |
+
"step": 175
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"epoch": 3.9306930693069306,
|
| 135 |
+
"grad_norm": 7.215332984924316,
|
| 136 |
+
"learning_rate": 9.665940450254176e-06,
|
| 137 |
+
"loss": 1.0304,
|
| 138 |
+
"step": 200
|
| 139 |
+
},
|
| 140 |
+
{
|
| 141 |
+
"epoch": 4.0,
|
| 142 |
+
"eval_accuracy": 0.9,
|
| 143 |
+
"eval_f1_class_1": 1.0,
|
| 144 |
+
"eval_f1_class_2": 0.7804878048780488,
|
| 145 |
+
"eval_f1_class_3": 1.0,
|
| 146 |
+
"eval_f1_class_4": 0.926829268292683,
|
| 147 |
+
"eval_f1_class_5": 0.88,
|
| 148 |
+
"eval_f1_class_6": 0.64,
|
| 149 |
+
"eval_f1_class_7": 0.9795918367346939,
|
| 150 |
+
"eval_f1_class_8": 0.8301886792452831,
|
| 151 |
+
"eval_f1_class_9": 0.9583333333333334,
|
| 152 |
+
"eval_f1_macro": 0.8883812136093379,
|
| 153 |
+
"eval_f1_weighted": 0.8941263361866708,
|
| 154 |
+
"eval_loss": 0.8936125636100769,
|
| 155 |
+
"eval_precision_macro": 0.9135504469987228,
|
| 156 |
+
"eval_precision_weighted": 0.9092049808429119,
|
| 157 |
+
"eval_recall_macro": 0.8870454164571812,
|
| 158 |
+
"eval_recall_weighted": 0.9,
|
| 159 |
+
"eval_runtime": 0.3826,
|
| 160 |
+
"eval_samples_per_second": 470.424,
|
| 161 |
+
"eval_steps_per_second": 15.681,
|
| 162 |
+
"step": 204
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"epoch": 4.415841584158416,
|
| 166 |
+
"grad_norm": 4.240860939025879,
|
| 167 |
+
"learning_rate": 9.484386347131446e-06,
|
| 168 |
+
"loss": 0.926,
|
| 169 |
+
"step": 225
|
| 170 |
+
},
|
| 171 |
+
{
|
| 172 |
+
"epoch": 4.910891089108911,
|
| 173 |
+
"grad_norm": 7.547500133514404,
|
| 174 |
+
"learning_rate": 9.302832244008714e-06,
|
| 175 |
+
"loss": 0.8455,
|
| 176 |
+
"step": 250
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 5.0,
|
| 180 |
+
"eval_accuracy": 0.8944444444444445,
|
| 181 |
+
"eval_f1_class_1": 0.975609756097561,
|
| 182 |
+
"eval_f1_class_2": 0.7619047619047619,
|
| 183 |
+
"eval_f1_class_3": 0.9444444444444444,
|
| 184 |
+
"eval_f1_class_4": 0.9,
|
| 185 |
+
"eval_f1_class_5": 0.8888888888888888,
|
| 186 |
+
"eval_f1_class_6": 0.7142857142857143,
|
| 187 |
+
"eval_f1_class_7": 0.96,
|
| 188 |
+
"eval_f1_class_8": 0.875,
|
| 189 |
+
"eval_f1_class_9": 0.9583333333333334,
|
| 190 |
+
"eval_f1_macro": 0.8864963221060782,
|
| 191 |
+
"eval_f1_weighted": 0.8915267453865015,
|
| 192 |
+
"eval_loss": 0.7933213710784912,
|
| 193 |
+
"eval_precision_macro": 0.895996040996041,
|
| 194 |
+
"eval_precision_weighted": 0.8972462352462351,
|
| 195 |
+
"eval_recall_macro": 0.8867832288110926,
|
| 196 |
+
"eval_recall_weighted": 0.8944444444444445,
|
| 197 |
+
"eval_runtime": 0.377,
|
| 198 |
+
"eval_samples_per_second": 477.469,
|
| 199 |
+
"eval_steps_per_second": 15.916,
|
| 200 |
+
"step": 255
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 5.396039603960396,
|
| 204 |
+
"grad_norm": 6.939261436462402,
|
| 205 |
+
"learning_rate": 9.121278140885986e-06,
|
| 206 |
+
"loss": 0.7949,
|
| 207 |
+
"step": 275
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 5.891089108910891,
|
| 211 |
+
"grad_norm": 4.395618915557861,
|
| 212 |
+
"learning_rate": 8.939724037763254e-06,
|
| 213 |
+
"loss": 0.7405,
|
| 214 |
+
"step": 300
|
| 215 |
+
},
|
| 216 |
+
{
|
| 217 |
+
"epoch": 6.0,
|
| 218 |
+
"eval_accuracy": 0.9055555555555556,
|
| 219 |
+
"eval_f1_class_1": 1.0,
|
| 220 |
+
"eval_f1_class_2": 0.7727272727272727,
|
| 221 |
+
"eval_f1_class_3": 1.0,
|
| 222 |
+
"eval_f1_class_4": 0.95,
|
| 223 |
+
"eval_f1_class_5": 0.9230769230769231,
|
| 224 |
+
"eval_f1_class_6": 0.6666666666666666,
|
| 225 |
+
"eval_f1_class_7": 1.0,
|
| 226 |
+
"eval_f1_class_8": 0.8260869565217391,
|
| 227 |
+
"eval_f1_class_9": 0.9583333333333334,
|
| 228 |
+
"eval_f1_macro": 0.8996545724806596,
|
| 229 |
+
"eval_f1_weighted": 0.9036424022837064,
|
| 230 |
+
"eval_loss": 0.7440095543861389,
|
| 231 |
+
"eval_precision_macro": 0.9038085988085989,
|
| 232 |
+
"eval_precision_weighted": 0.9062825692825692,
|
| 233 |
+
"eval_recall_macro": 0.900330987095693,
|
| 234 |
+
"eval_recall_weighted": 0.9055555555555556,
|
| 235 |
+
"eval_runtime": 0.3904,
|
| 236 |
+
"eval_samples_per_second": 461.066,
|
| 237 |
+
"eval_steps_per_second": 15.369,
|
| 238 |
+
"step": 306
|
| 239 |
+
},
|
| 240 |
+
{
|
| 241 |
+
"epoch": 6.376237623762377,
|
| 242 |
+
"grad_norm": 5.959896087646484,
|
| 243 |
+
"learning_rate": 8.758169934640524e-06,
|
| 244 |
+
"loss": 0.7125,
|
| 245 |
+
"step": 325
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"epoch": 6.871287128712871,
|
| 249 |
+
"grad_norm": 5.87659215927124,
|
| 250 |
+
"learning_rate": 8.576615831517793e-06,
|
| 251 |
+
"loss": 0.673,
|
| 252 |
+
"step": 350
|
| 253 |
+
},
|
| 254 |
+
{
|
| 255 |
+
"epoch": 7.0,
|
| 256 |
+
"eval_accuracy": 0.9055555555555556,
|
| 257 |
+
"eval_f1_class_1": 0.975609756097561,
|
| 258 |
+
"eval_f1_class_2": 0.7368421052631579,
|
| 259 |
+
"eval_f1_class_3": 0.972972972972973,
|
| 260 |
+
"eval_f1_class_4": 0.8888888888888888,
|
| 261 |
+
"eval_f1_class_5": 0.9230769230769231,
|
| 262 |
+
"eval_f1_class_6": 0.7407407407407407,
|
| 263 |
+
"eval_f1_class_7": 1.0,
|
| 264 |
+
"eval_f1_class_8": 0.88,
|
| 265 |
+
"eval_f1_class_9": 0.9583333333333334,
|
| 266 |
+
"eval_f1_macro": 0.8973849689303974,
|
| 267 |
+
"eval_f1_weighted": 0.9014864486152104,
|
| 268 |
+
"eval_loss": 0.7316537499427795,
|
| 269 |
+
"eval_precision_macro": 0.9132654999321667,
|
| 270 |
+
"eval_precision_weighted": 0.9115048161714827,
|
| 271 |
+
"eval_recall_macro": 0.8972608116570964,
|
| 272 |
+
"eval_recall_weighted": 0.9055555555555556,
|
| 273 |
+
"eval_runtime": 0.3857,
|
| 274 |
+
"eval_samples_per_second": 466.734,
|
| 275 |
+
"eval_steps_per_second": 15.558,
|
| 276 |
+
"step": 357
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 7.356435643564357,
|
| 280 |
+
"grad_norm": 5.4788947105407715,
|
| 281 |
+
"learning_rate": 8.395061728395062e-06,
|
| 282 |
+
"loss": 0.6209,
|
| 283 |
+
"step": 375
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 7.851485148514851,
|
| 287 |
+
"grad_norm": 5.614921569824219,
|
| 288 |
+
"learning_rate": 8.213507625272332e-06,
|
| 289 |
+
"loss": 0.6277,
|
| 290 |
+
"step": 400
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 8.0,
|
| 294 |
+
"eval_accuracy": 0.8944444444444445,
|
| 295 |
+
"eval_f1_class_1": 0.975609756097561,
|
| 296 |
+
"eval_f1_class_2": 0.7142857142857143,
|
| 297 |
+
"eval_f1_class_3": 0.9444444444444444,
|
| 298 |
+
"eval_f1_class_4": 0.8837209302325582,
|
| 299 |
+
"eval_f1_class_5": 0.8888888888888888,
|
| 300 |
+
"eval_f1_class_6": 0.6923076923076923,
|
| 301 |
+
"eval_f1_class_7": 1.0,
|
| 302 |
+
"eval_f1_class_8": 0.8979591836734694,
|
| 303 |
+
"eval_f1_class_9": 0.9583333333333334,
|
| 304 |
+
"eval_f1_macro": 0.8839499936959624,
|
| 305 |
+
"eval_f1_weighted": 0.8907458103132077,
|
| 306 |
+
"eval_loss": 0.7260087132453918,
|
| 307 |
+
"eval_precision_macro": 0.9019365497626368,
|
| 308 |
+
"eval_precision_weighted": 0.9034921053181922,
|
| 309 |
+
"eval_recall_macro": 0.8848769107283039,
|
| 310 |
+
"eval_recall_weighted": 0.8944444444444445,
|
| 311 |
+
"eval_runtime": 0.3921,
|
| 312 |
+
"eval_samples_per_second": 459.098,
|
| 313 |
+
"eval_steps_per_second": 15.303,
|
| 314 |
+
"step": 408
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 8.336633663366337,
|
| 318 |
+
"grad_norm": 0.9043681025505066,
|
| 319 |
+
"learning_rate": 8.031953522149601e-06,
|
| 320 |
+
"loss": 0.5791,
|
| 321 |
+
"step": 425
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 8.831683168316832,
|
| 325 |
+
"grad_norm": 8.910099983215332,
|
| 326 |
+
"learning_rate": 7.850399419026871e-06,
|
| 327 |
+
"loss": 0.5777,
|
| 328 |
+
"step": 450
|
| 329 |
+
},
|
| 330 |
+
{
|
| 331 |
+
"epoch": 9.0,
|
| 332 |
+
"eval_accuracy": 0.9,
|
| 333 |
+
"eval_f1_class_1": 1.0,
|
| 334 |
+
"eval_f1_class_2": 0.7317073170731707,
|
| 335 |
+
"eval_f1_class_3": 0.972972972972973,
|
| 336 |
+
"eval_f1_class_4": 0.8888888888888888,
|
| 337 |
+
"eval_f1_class_5": 0.96,
|
| 338 |
+
"eval_f1_class_6": 0.7142857142857143,
|
| 339 |
+
"eval_f1_class_7": 1.0,
|
| 340 |
+
"eval_f1_class_8": 0.8571428571428571,
|
| 341 |
+
"eval_f1_class_9": 0.9361702127659575,
|
| 342 |
+
"eval_f1_macro": 0.8956853292366181,
|
| 343 |
+
"eval_f1_weighted": 0.8979145067423913,
|
| 344 |
+
"eval_loss": 0.7282315492630005,
|
| 345 |
+
"eval_precision_macro": 0.9088936988936989,
|
| 346 |
+
"eval_precision_weighted": 0.905464405964406,
|
| 347 |
+
"eval_recall_macro": 0.8933558197086264,
|
| 348 |
+
"eval_recall_weighted": 0.9,
|
| 349 |
+
"eval_runtime": 0.3802,
|
| 350 |
+
"eval_samples_per_second": 473.411,
|
| 351 |
+
"eval_steps_per_second": 15.78,
|
| 352 |
+
"step": 459
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 9.316831683168317,
|
| 356 |
+
"grad_norm": 1.7061387300491333,
|
| 357 |
+
"learning_rate": 7.66884531590414e-06,
|
| 358 |
+
"loss": 0.5522,
|
| 359 |
+
"step": 475
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 9.811881188118813,
|
| 363 |
+
"grad_norm": 5.173563003540039,
|
| 364 |
+
"learning_rate": 7.487291212781409e-06,
|
| 365 |
+
"loss": 0.5386,
|
| 366 |
+
"step": 500
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 10.0,
|
| 370 |
+
"eval_accuracy": 0.8888888888888888,
|
| 371 |
+
"eval_f1_class_1": 1.0,
|
| 372 |
+
"eval_f1_class_2": 0.7,
|
| 373 |
+
"eval_f1_class_3": 0.972972972972973,
|
| 374 |
+
"eval_f1_class_4": 0.8636363636363636,
|
| 375 |
+
"eval_f1_class_5": 0.9230769230769231,
|
| 376 |
+
"eval_f1_class_6": 0.7096774193548387,
|
| 377 |
+
"eval_f1_class_7": 1.0,
|
| 378 |
+
"eval_f1_class_8": 0.8260869565217391,
|
| 379 |
+
"eval_f1_class_9": 0.9583333333333334,
|
| 380 |
+
"eval_f1_macro": 0.8837537743217968,
|
| 381 |
+
"eval_f1_weighted": 0.887174908396858,
|
| 382 |
+
"eval_loss": 0.7506593465805054,
|
| 383 |
+
"eval_precision_macro": 0.8871215821215821,
|
| 384 |
+
"eval_precision_weighted": 0.8893208273208272,
|
| 385 |
+
"eval_recall_macro": 0.8843523149250703,
|
| 386 |
+
"eval_recall_weighted": 0.8888888888888888,
|
| 387 |
+
"eval_runtime": 0.3848,
|
| 388 |
+
"eval_samples_per_second": 467.763,
|
| 389 |
+
"eval_steps_per_second": 15.592,
|
| 390 |
+
"step": 510
|
| 391 |
+
}
|
| 392 |
+
],
|
| 393 |
+
"logging_steps": 25,
|
| 394 |
+
"max_steps": 1530,
|
| 395 |
+
"num_input_tokens_seen": 0,
|
| 396 |
+
"num_train_epochs": 30,
|
| 397 |
+
"save_steps": 500,
|
| 398 |
+
"stateful_callbacks": {
|
| 399 |
+
"EarlyStoppingCallback": {
|
| 400 |
+
"args": {
|
| 401 |
+
"early_stopping_patience": 5,
|
| 402 |
+
"early_stopping_threshold": 0.001
|
| 403 |
+
},
|
| 404 |
+
"attributes": {
|
| 405 |
+
"early_stopping_patience_counter": 4
|
| 406 |
+
}
|
| 407 |
+
},
|
| 408 |
+
"TrainerControl": {
|
| 409 |
+
"args": {
|
| 410 |
+
"should_epoch_stop": false,
|
| 411 |
+
"should_evaluate": false,
|
| 412 |
+
"should_log": false,
|
| 413 |
+
"should_save": true,
|
| 414 |
+
"should_training_stop": false
|
| 415 |
+
},
|
| 416 |
+
"attributes": {}
|
| 417 |
+
}
|
| 418 |
+
},
|
| 419 |
+
"total_flos": 2119492753044480.0,
|
| 420 |
+
"train_batch_size": 16,
|
| 421 |
+
"trial_name": null,
|
| 422 |
+
"trial_params": null
|
| 423 |
+
}
|
telecom_marabert_large_full_pipeline/checkpoint-510/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f988eeda8a1fc14cbf1fe7dca7e292179f39245156399c748eeca11dad745279
|
| 3 |
+
size 5905
|
telecom_marabert_large_full_pipeline/checkpoint-510/vocab.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
telecom_marabert_large_full_pipeline/checkpoint-561/config.json
ADDED
|
@@ -0,0 +1,53 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"BertForSequenceClassification"
|
| 4 |
+
],
|
| 5 |
+
"attention_probs_dropout_prob": 0.1,
|
| 6 |
+
"classifier_dropout": null,
|
| 7 |
+
"directionality": "bidi",
|
| 8 |
+
"dtype": "float32",
|
| 9 |
+
"gradient_checkpointing": false,
|
| 10 |
+
"hidden_act": "gelu",
|
| 11 |
+
"hidden_dropout_prob": 0.1,
|
| 12 |
+
"hidden_size": 768,
|
| 13 |
+
"id2label": {
|
| 14 |
+
"0": 1,
|
| 15 |
+
"1": 2,
|
| 16 |
+
"2": 3,
|
| 17 |
+
"3": 4,
|
| 18 |
+
"4": 5,
|
| 19 |
+
"5": 6,
|
| 20 |
+
"6": 7,
|
| 21 |
+
"7": 8,
|
| 22 |
+
"8": 9
|
| 23 |
+
},
|
| 24 |
+
"initializer_range": 0.02,
|
| 25 |
+
"intermediate_size": 3072,
|
| 26 |
+
"label2id": {
|
| 27 |
+
"1": 0,
|
| 28 |
+
"2": 1,
|
| 29 |
+
"3": 2,
|
| 30 |
+
"4": 3,
|
| 31 |
+
"5": 4,
|
| 32 |
+
"6": 5,
|
| 33 |
+
"7": 6,
|
| 34 |
+
"8": 7,
|
| 35 |
+
"9": 8
|
| 36 |
+
},
|
| 37 |
+
"layer_norm_eps": 1e-12,
|
| 38 |
+
"max_position_embeddings": 512,
|
| 39 |
+
"model_type": "bert",
|
| 40 |
+
"num_attention_heads": 12,
|
| 41 |
+
"num_hidden_layers": 12,
|
| 42 |
+
"pad_token_id": 0,
|
| 43 |
+
"pooler_fc_size": 768,
|
| 44 |
+
"pooler_num_attention_heads": 12,
|
| 45 |
+
"pooler_num_fc_layers": 3,
|
| 46 |
+
"pooler_size_per_head": 128,
|
| 47 |
+
"pooler_type": "first_token_transform",
|
| 48 |
+
"position_embedding_type": "absolute",
|
| 49 |
+
"transformers_version": "4.57.3",
|
| 50 |
+
"type_vocab_size": 2,
|
| 51 |
+
"use_cache": true,
|
| 52 |
+
"vocab_size": 100000
|
| 53 |
+
}
|
telecom_marabert_large_full_pipeline/checkpoint-561/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:13b18b51bcf5c1511522462a4a035eb61913398c7442ddd9f27aca23ef95b09b
|
| 3 |
+
size 651416604
|
telecom_marabert_large_full_pipeline/checkpoint-561/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5eaf91cc9cea667ac6984583b8ab181719d147e8f9d38b226f37385ce589291e
|
| 3 |
+
size 1302957451
|
telecom_marabert_large_full_pipeline/checkpoint-561/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:390cc14c18a047ecfec6aaeeb6d72d07d8e9d88e035f384901d1df780a1453f0
|
| 3 |
+
size 14645
|
telecom_marabert_large_full_pipeline/checkpoint-561/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9c5d4546df06998d7696f4429bc55482f726f447814ba10911cbdc03caa31e4e
|
| 3 |
+
size 1465
|
telecom_marabert_large_full_pipeline/checkpoint-561/special_tokens_map.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"cls_token": {
|
| 3 |
+
"content": "[CLS]",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"mask_token": {
|
| 10 |
+
"content": "[MASK]",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "[PAD]",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"sep_token": {
|
| 24 |
+
"content": "[SEP]",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"unk_token": {
|
| 31 |
+
"content": "[UNK]",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
}
|
| 37 |
+
}
|
telecom_marabert_large_full_pipeline/checkpoint-561/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
telecom_marabert_large_full_pipeline/checkpoint-561/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": "[UNK]",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "[CLS]",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"3": {
|
| 28 |
+
"content": "[SEP]",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"4": {
|
| 36 |
+
"content": "[MASK]",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"clean_up_tokenization_spaces": true,
|
| 45 |
+
"cls_token": "[CLS]",
|
| 46 |
+
"do_basic_tokenize": true,
|
| 47 |
+
"do_lower_case": true,
|
| 48 |
+
"extra_special_tokens": {},
|
| 49 |
+
"mask_token": "[MASK]",
|
| 50 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 51 |
+
"never_split": null,
|
| 52 |
+
"pad_token": "[PAD]",
|
| 53 |
+
"sep_token": "[SEP]",
|
| 54 |
+
"strip_accents": null,
|
| 55 |
+
"tokenize_chinese_chars": true,
|
| 56 |
+
"tokenizer_class": "BertTokenizer",
|
| 57 |
+
"unk_token": "[UNK]"
|
| 58 |
+
}
|
telecom_marabert_large_full_pipeline/checkpoint-561/trainer_state.json
ADDED
|
@@ -0,0 +1,461 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 306,
|
| 3 |
+
"best_metric": 0.9036424022837064,
|
| 4 |
+
"best_model_checkpoint": "./telecom_marabert_large_full_pipeline/checkpoint-306",
|
| 5 |
+
"epoch": 11.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 561,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.49504950495049505,
|
| 14 |
+
"grad_norm": 1.8976224660873413,
|
| 15 |
+
"learning_rate": 1.5686274509803923e-06,
|
| 16 |
+
"loss": 2.1865,
|
| 17 |
+
"step": 25
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.9900990099009901,
|
| 21 |
+
"grad_norm": 1.939752459526062,
|
| 22 |
+
"learning_rate": 3.2026143790849674e-06,
|
| 23 |
+
"loss": 2.1373,
|
| 24 |
+
"step": 50
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 1.0,
|
| 28 |
+
"eval_accuracy": 0.4222222222222222,
|
| 29 |
+
"eval_f1_class_1": 0.8888888888888888,
|
| 30 |
+
"eval_f1_class_2": 0.2222222222222222,
|
| 31 |
+
"eval_f1_class_3": 0.0,
|
| 32 |
+
"eval_f1_class_4": 0.0,
|
| 33 |
+
"eval_f1_class_5": 0.0,
|
| 34 |
+
"eval_f1_class_6": 0.0,
|
| 35 |
+
"eval_f1_class_7": 0.9565217391304348,
|
| 36 |
+
"eval_f1_class_8": 0.43137254901960786,
|
| 37 |
+
"eval_f1_class_9": 0.38016528925619836,
|
| 38 |
+
"eval_f1_macro": 0.3199078542797058,
|
| 39 |
+
"eval_f1_weighted": 0.3570860377261989,
|
| 40 |
+
"eval_loss": 2.050368070602417,
|
| 41 |
+
"eval_precision_macro": 0.32134458721760306,
|
| 42 |
+
"eval_precision_weighted": 0.3565318720080625,
|
| 43 |
+
"eval_recall_macro": 0.375,
|
| 44 |
+
"eval_recall_weighted": 0.4222222222222222,
|
| 45 |
+
"eval_runtime": 0.4171,
|
| 46 |
+
"eval_samples_per_second": 431.574,
|
| 47 |
+
"eval_steps_per_second": 14.386,
|
| 48 |
+
"step": 51
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"epoch": 1.4752475247524752,
|
| 52 |
+
"grad_norm": 2.7972664833068848,
|
| 53 |
+
"learning_rate": 4.836601307189543e-06,
|
| 54 |
+
"loss": 2.0164,
|
| 55 |
+
"step": 75
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"epoch": 1.9702970297029703,
|
| 59 |
+
"grad_norm": 2.76436185836792,
|
| 60 |
+
"learning_rate": 6.470588235294119e-06,
|
| 61 |
+
"loss": 1.8001,
|
| 62 |
+
"step": 100
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 2.0,
|
| 66 |
+
"eval_accuracy": 0.8777777777777778,
|
| 67 |
+
"eval_f1_class_1": 1.0,
|
| 68 |
+
"eval_f1_class_2": 0.7567567567567568,
|
| 69 |
+
"eval_f1_class_3": 0.972972972972973,
|
| 70 |
+
"eval_f1_class_4": 0.8837209302325582,
|
| 71 |
+
"eval_f1_class_5": 0.8888888888888888,
|
| 72 |
+
"eval_f1_class_6": 0.6428571428571429,
|
| 73 |
+
"eval_f1_class_7": 0.96,
|
| 74 |
+
"eval_f1_class_8": 0.7755102040816326,
|
| 75 |
+
"eval_f1_class_9": 0.9387755102040817,
|
| 76 |
+
"eval_f1_macro": 0.8688313784437816,
|
| 77 |
+
"eval_f1_weighted": 0.8723569380169602,
|
| 78 |
+
"eval_loss": 1.5676754713058472,
|
| 79 |
+
"eval_precision_macro": 0.8769592612559364,
|
| 80 |
+
"eval_precision_weighted": 0.876579307875983,
|
| 81 |
+
"eval_recall_macro": 0.8712804195002337,
|
| 82 |
+
"eval_recall_weighted": 0.8777777777777778,
|
| 83 |
+
"eval_runtime": 0.3929,
|
| 84 |
+
"eval_samples_per_second": 458.187,
|
| 85 |
+
"eval_steps_per_second": 15.273,
|
| 86 |
+
"step": 102
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 2.4554455445544554,
|
| 90 |
+
"grad_norm": 3.865165948867798,
|
| 91 |
+
"learning_rate": 8.104575163398693e-06,
|
| 92 |
+
"loss": 1.5567,
|
| 93 |
+
"step": 125
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 2.9504950495049505,
|
| 97 |
+
"grad_norm": 3.0548179149627686,
|
| 98 |
+
"learning_rate": 9.738562091503268e-06,
|
| 99 |
+
"loss": 1.3614,
|
| 100 |
+
"step": 150
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 3.0,
|
| 104 |
+
"eval_accuracy": 0.9055555555555556,
|
| 105 |
+
"eval_f1_class_1": 1.0,
|
| 106 |
+
"eval_f1_class_2": 0.8292682926829268,
|
| 107 |
+
"eval_f1_class_3": 0.972972972972973,
|
| 108 |
+
"eval_f1_class_4": 0.926829268292683,
|
| 109 |
+
"eval_f1_class_5": 0.8888888888888888,
|
| 110 |
+
"eval_f1_class_6": 0.6896551724137931,
|
| 111 |
+
"eval_f1_class_7": 0.96,
|
| 112 |
+
"eval_f1_class_8": 0.851063829787234,
|
| 113 |
+
"eval_f1_class_9": 0.9583333333333334,
|
| 114 |
+
"eval_f1_macro": 0.8974457509302035,
|
| 115 |
+
"eval_f1_weighted": 0.9021962765230499,
|
| 116 |
+
"eval_loss": 1.1128010749816895,
|
| 117 |
+
"eval_precision_macro": 0.9019337828033481,
|
| 118 |
+
"eval_precision_weighted": 0.9043258303693086,
|
| 119 |
+
"eval_recall_macro": 0.8991126635089484,
|
| 120 |
+
"eval_recall_weighted": 0.9055555555555556,
|
| 121 |
+
"eval_runtime": 0.3913,
|
| 122 |
+
"eval_samples_per_second": 460.034,
|
| 123 |
+
"eval_steps_per_second": 15.334,
|
| 124 |
+
"step": 153
|
| 125 |
+
},
|
| 126 |
+
{
|
| 127 |
+
"epoch": 3.4356435643564356,
|
| 128 |
+
"grad_norm": 5.272692680358887,
|
| 129 |
+
"learning_rate": 9.847494553376908e-06,
|
| 130 |
+
"loss": 1.1806,
|
| 131 |
+
"step": 175
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"epoch": 3.9306930693069306,
|
| 135 |
+
"grad_norm": 7.215332984924316,
|
| 136 |
+
"learning_rate": 9.665940450254176e-06,
|
| 137 |
+
"loss": 1.0304,
|
| 138 |
+
"step": 200
|
| 139 |
+
},
|
| 140 |
+
{
|
| 141 |
+
"epoch": 4.0,
|
| 142 |
+
"eval_accuracy": 0.9,
|
| 143 |
+
"eval_f1_class_1": 1.0,
|
| 144 |
+
"eval_f1_class_2": 0.7804878048780488,
|
| 145 |
+
"eval_f1_class_3": 1.0,
|
| 146 |
+
"eval_f1_class_4": 0.926829268292683,
|
| 147 |
+
"eval_f1_class_5": 0.88,
|
| 148 |
+
"eval_f1_class_6": 0.64,
|
| 149 |
+
"eval_f1_class_7": 0.9795918367346939,
|
| 150 |
+
"eval_f1_class_8": 0.8301886792452831,
|
| 151 |
+
"eval_f1_class_9": 0.9583333333333334,
|
| 152 |
+
"eval_f1_macro": 0.8883812136093379,
|
| 153 |
+
"eval_f1_weighted": 0.8941263361866708,
|
| 154 |
+
"eval_loss": 0.8936125636100769,
|
| 155 |
+
"eval_precision_macro": 0.9135504469987228,
|
| 156 |
+
"eval_precision_weighted": 0.9092049808429119,
|
| 157 |
+
"eval_recall_macro": 0.8870454164571812,
|
| 158 |
+
"eval_recall_weighted": 0.9,
|
| 159 |
+
"eval_runtime": 0.3826,
|
| 160 |
+
"eval_samples_per_second": 470.424,
|
| 161 |
+
"eval_steps_per_second": 15.681,
|
| 162 |
+
"step": 204
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"epoch": 4.415841584158416,
|
| 166 |
+
"grad_norm": 4.240860939025879,
|
| 167 |
+
"learning_rate": 9.484386347131446e-06,
|
| 168 |
+
"loss": 0.926,
|
| 169 |
+
"step": 225
|
| 170 |
+
},
|
| 171 |
+
{
|
| 172 |
+
"epoch": 4.910891089108911,
|
| 173 |
+
"grad_norm": 7.547500133514404,
|
| 174 |
+
"learning_rate": 9.302832244008714e-06,
|
| 175 |
+
"loss": 0.8455,
|
| 176 |
+
"step": 250
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 5.0,
|
| 180 |
+
"eval_accuracy": 0.8944444444444445,
|
| 181 |
+
"eval_f1_class_1": 0.975609756097561,
|
| 182 |
+
"eval_f1_class_2": 0.7619047619047619,
|
| 183 |
+
"eval_f1_class_3": 0.9444444444444444,
|
| 184 |
+
"eval_f1_class_4": 0.9,
|
| 185 |
+
"eval_f1_class_5": 0.8888888888888888,
|
| 186 |
+
"eval_f1_class_6": 0.7142857142857143,
|
| 187 |
+
"eval_f1_class_7": 0.96,
|
| 188 |
+
"eval_f1_class_8": 0.875,
|
| 189 |
+
"eval_f1_class_9": 0.9583333333333334,
|
| 190 |
+
"eval_f1_macro": 0.8864963221060782,
|
| 191 |
+
"eval_f1_weighted": 0.8915267453865015,
|
| 192 |
+
"eval_loss": 0.7933213710784912,
|
| 193 |
+
"eval_precision_macro": 0.895996040996041,
|
| 194 |
+
"eval_precision_weighted": 0.8972462352462351,
|
| 195 |
+
"eval_recall_macro": 0.8867832288110926,
|
| 196 |
+
"eval_recall_weighted": 0.8944444444444445,
|
| 197 |
+
"eval_runtime": 0.377,
|
| 198 |
+
"eval_samples_per_second": 477.469,
|
| 199 |
+
"eval_steps_per_second": 15.916,
|
| 200 |
+
"step": 255
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 5.396039603960396,
|
| 204 |
+
"grad_norm": 6.939261436462402,
|
| 205 |
+
"learning_rate": 9.121278140885986e-06,
|
| 206 |
+
"loss": 0.7949,
|
| 207 |
+
"step": 275
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 5.891089108910891,
|
| 211 |
+
"grad_norm": 4.395618915557861,
|
| 212 |
+
"learning_rate": 8.939724037763254e-06,
|
| 213 |
+
"loss": 0.7405,
|
| 214 |
+
"step": 300
|
| 215 |
+
},
|
| 216 |
+
{
|
| 217 |
+
"epoch": 6.0,
|
| 218 |
+
"eval_accuracy": 0.9055555555555556,
|
| 219 |
+
"eval_f1_class_1": 1.0,
|
| 220 |
+
"eval_f1_class_2": 0.7727272727272727,
|
| 221 |
+
"eval_f1_class_3": 1.0,
|
| 222 |
+
"eval_f1_class_4": 0.95,
|
| 223 |
+
"eval_f1_class_5": 0.9230769230769231,
|
| 224 |
+
"eval_f1_class_6": 0.6666666666666666,
|
| 225 |
+
"eval_f1_class_7": 1.0,
|
| 226 |
+
"eval_f1_class_8": 0.8260869565217391,
|
| 227 |
+
"eval_f1_class_9": 0.9583333333333334,
|
| 228 |
+
"eval_f1_macro": 0.8996545724806596,
|
| 229 |
+
"eval_f1_weighted": 0.9036424022837064,
|
| 230 |
+
"eval_loss": 0.7440095543861389,
|
| 231 |
+
"eval_precision_macro": 0.9038085988085989,
|
| 232 |
+
"eval_precision_weighted": 0.9062825692825692,
|
| 233 |
+
"eval_recall_macro": 0.900330987095693,
|
| 234 |
+
"eval_recall_weighted": 0.9055555555555556,
|
| 235 |
+
"eval_runtime": 0.3904,
|
| 236 |
+
"eval_samples_per_second": 461.066,
|
| 237 |
+
"eval_steps_per_second": 15.369,
|
| 238 |
+
"step": 306
|
| 239 |
+
},
|
| 240 |
+
{
|
| 241 |
+
"epoch": 6.376237623762377,
|
| 242 |
+
"grad_norm": 5.959896087646484,
|
| 243 |
+
"learning_rate": 8.758169934640524e-06,
|
| 244 |
+
"loss": 0.7125,
|
| 245 |
+
"step": 325
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"epoch": 6.871287128712871,
|
| 249 |
+
"grad_norm": 5.87659215927124,
|
| 250 |
+
"learning_rate": 8.576615831517793e-06,
|
| 251 |
+
"loss": 0.673,
|
| 252 |
+
"step": 350
|
| 253 |
+
},
|
| 254 |
+
{
|
| 255 |
+
"epoch": 7.0,
|
| 256 |
+
"eval_accuracy": 0.9055555555555556,
|
| 257 |
+
"eval_f1_class_1": 0.975609756097561,
|
| 258 |
+
"eval_f1_class_2": 0.7368421052631579,
|
| 259 |
+
"eval_f1_class_3": 0.972972972972973,
|
| 260 |
+
"eval_f1_class_4": 0.8888888888888888,
|
| 261 |
+
"eval_f1_class_5": 0.9230769230769231,
|
| 262 |
+
"eval_f1_class_6": 0.7407407407407407,
|
| 263 |
+
"eval_f1_class_7": 1.0,
|
| 264 |
+
"eval_f1_class_8": 0.88,
|
| 265 |
+
"eval_f1_class_9": 0.9583333333333334,
|
| 266 |
+
"eval_f1_macro": 0.8973849689303974,
|
| 267 |
+
"eval_f1_weighted": 0.9014864486152104,
|
| 268 |
+
"eval_loss": 0.7316537499427795,
|
| 269 |
+
"eval_precision_macro": 0.9132654999321667,
|
| 270 |
+
"eval_precision_weighted": 0.9115048161714827,
|
| 271 |
+
"eval_recall_macro": 0.8972608116570964,
|
| 272 |
+
"eval_recall_weighted": 0.9055555555555556,
|
| 273 |
+
"eval_runtime": 0.3857,
|
| 274 |
+
"eval_samples_per_second": 466.734,
|
| 275 |
+
"eval_steps_per_second": 15.558,
|
| 276 |
+
"step": 357
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 7.356435643564357,
|
| 280 |
+
"grad_norm": 5.4788947105407715,
|
| 281 |
+
"learning_rate": 8.395061728395062e-06,
|
| 282 |
+
"loss": 0.6209,
|
| 283 |
+
"step": 375
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 7.851485148514851,
|
| 287 |
+
"grad_norm": 5.614921569824219,
|
| 288 |
+
"learning_rate": 8.213507625272332e-06,
|
| 289 |
+
"loss": 0.6277,
|
| 290 |
+
"step": 400
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 8.0,
|
| 294 |
+
"eval_accuracy": 0.8944444444444445,
|
| 295 |
+
"eval_f1_class_1": 0.975609756097561,
|
| 296 |
+
"eval_f1_class_2": 0.7142857142857143,
|
| 297 |
+
"eval_f1_class_3": 0.9444444444444444,
|
| 298 |
+
"eval_f1_class_4": 0.8837209302325582,
|
| 299 |
+
"eval_f1_class_5": 0.8888888888888888,
|
| 300 |
+
"eval_f1_class_6": 0.6923076923076923,
|
| 301 |
+
"eval_f1_class_7": 1.0,
|
| 302 |
+
"eval_f1_class_8": 0.8979591836734694,
|
| 303 |
+
"eval_f1_class_9": 0.9583333333333334,
|
| 304 |
+
"eval_f1_macro": 0.8839499936959624,
|
| 305 |
+
"eval_f1_weighted": 0.8907458103132077,
|
| 306 |
+
"eval_loss": 0.7260087132453918,
|
| 307 |
+
"eval_precision_macro": 0.9019365497626368,
|
| 308 |
+
"eval_precision_weighted": 0.9034921053181922,
|
| 309 |
+
"eval_recall_macro": 0.8848769107283039,
|
| 310 |
+
"eval_recall_weighted": 0.8944444444444445,
|
| 311 |
+
"eval_runtime": 0.3921,
|
| 312 |
+
"eval_samples_per_second": 459.098,
|
| 313 |
+
"eval_steps_per_second": 15.303,
|
| 314 |
+
"step": 408
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 8.336633663366337,
|
| 318 |
+
"grad_norm": 0.9043681025505066,
|
| 319 |
+
"learning_rate": 8.031953522149601e-06,
|
| 320 |
+
"loss": 0.5791,
|
| 321 |
+
"step": 425
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 8.831683168316832,
|
| 325 |
+
"grad_norm": 8.910099983215332,
|
| 326 |
+
"learning_rate": 7.850399419026871e-06,
|
| 327 |
+
"loss": 0.5777,
|
| 328 |
+
"step": 450
|
| 329 |
+
},
|
| 330 |
+
{
|
| 331 |
+
"epoch": 9.0,
|
| 332 |
+
"eval_accuracy": 0.9,
|
| 333 |
+
"eval_f1_class_1": 1.0,
|
| 334 |
+
"eval_f1_class_2": 0.7317073170731707,
|
| 335 |
+
"eval_f1_class_3": 0.972972972972973,
|
| 336 |
+
"eval_f1_class_4": 0.8888888888888888,
|
| 337 |
+
"eval_f1_class_5": 0.96,
|
| 338 |
+
"eval_f1_class_6": 0.7142857142857143,
|
| 339 |
+
"eval_f1_class_7": 1.0,
|
| 340 |
+
"eval_f1_class_8": 0.8571428571428571,
|
| 341 |
+
"eval_f1_class_9": 0.9361702127659575,
|
| 342 |
+
"eval_f1_macro": 0.8956853292366181,
|
| 343 |
+
"eval_f1_weighted": 0.8979145067423913,
|
| 344 |
+
"eval_loss": 0.7282315492630005,
|
| 345 |
+
"eval_precision_macro": 0.9088936988936989,
|
| 346 |
+
"eval_precision_weighted": 0.905464405964406,
|
| 347 |
+
"eval_recall_macro": 0.8933558197086264,
|
| 348 |
+
"eval_recall_weighted": 0.9,
|
| 349 |
+
"eval_runtime": 0.3802,
|
| 350 |
+
"eval_samples_per_second": 473.411,
|
| 351 |
+
"eval_steps_per_second": 15.78,
|
| 352 |
+
"step": 459
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 9.316831683168317,
|
| 356 |
+
"grad_norm": 1.7061387300491333,
|
| 357 |
+
"learning_rate": 7.66884531590414e-06,
|
| 358 |
+
"loss": 0.5522,
|
| 359 |
+
"step": 475
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 9.811881188118813,
|
| 363 |
+
"grad_norm": 5.173563003540039,
|
| 364 |
+
"learning_rate": 7.487291212781409e-06,
|
| 365 |
+
"loss": 0.5386,
|
| 366 |
+
"step": 500
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 10.0,
|
| 370 |
+
"eval_accuracy": 0.8888888888888888,
|
| 371 |
+
"eval_f1_class_1": 1.0,
|
| 372 |
+
"eval_f1_class_2": 0.7,
|
| 373 |
+
"eval_f1_class_3": 0.972972972972973,
|
| 374 |
+
"eval_f1_class_4": 0.8636363636363636,
|
| 375 |
+
"eval_f1_class_5": 0.9230769230769231,
|
| 376 |
+
"eval_f1_class_6": 0.7096774193548387,
|
| 377 |
+
"eval_f1_class_7": 1.0,
|
| 378 |
+
"eval_f1_class_8": 0.8260869565217391,
|
| 379 |
+
"eval_f1_class_9": 0.9583333333333334,
|
| 380 |
+
"eval_f1_macro": 0.8837537743217968,
|
| 381 |
+
"eval_f1_weighted": 0.887174908396858,
|
| 382 |
+
"eval_loss": 0.7506593465805054,
|
| 383 |
+
"eval_precision_macro": 0.8871215821215821,
|
| 384 |
+
"eval_precision_weighted": 0.8893208273208272,
|
| 385 |
+
"eval_recall_macro": 0.8843523149250703,
|
| 386 |
+
"eval_recall_weighted": 0.8888888888888888,
|
| 387 |
+
"eval_runtime": 0.3848,
|
| 388 |
+
"eval_samples_per_second": 467.763,
|
| 389 |
+
"eval_steps_per_second": 15.592,
|
| 390 |
+
"step": 510
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 10.297029702970297,
|
| 394 |
+
"grad_norm": 12.60004711151123,
|
| 395 |
+
"learning_rate": 7.305737109658679e-06,
|
| 396 |
+
"loss": 0.5355,
|
| 397 |
+
"step": 525
|
| 398 |
+
},
|
| 399 |
+
{
|
| 400 |
+
"epoch": 10.792079207920793,
|
| 401 |
+
"grad_norm": 5.767191410064697,
|
| 402 |
+
"learning_rate": 7.124183006535948e-06,
|
| 403 |
+
"loss": 0.5255,
|
| 404 |
+
"step": 550
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 11.0,
|
| 408 |
+
"eval_accuracy": 0.8722222222222222,
|
| 409 |
+
"eval_f1_class_1": 0.975609756097561,
|
| 410 |
+
"eval_f1_class_2": 0.7441860465116279,
|
| 411 |
+
"eval_f1_class_3": 0.9444444444444444,
|
| 412 |
+
"eval_f1_class_4": 0.85,
|
| 413 |
+
"eval_f1_class_5": 0.8571428571428571,
|
| 414 |
+
"eval_f1_class_6": 0.6206896551724138,
|
| 415 |
+
"eval_f1_class_7": 0.9795918367346939,
|
| 416 |
+
"eval_f1_class_8": 0.8260869565217391,
|
| 417 |
+
"eval_f1_class_9": 0.9583333333333334,
|
| 418 |
+
"eval_f1_macro": 0.8617872095509633,
|
| 419 |
+
"eval_f1_weighted": 0.8689605526790969,
|
| 420 |
+
"eval_loss": 0.7731823325157166,
|
| 421 |
+
"eval_precision_macro": 0.8657410544367067,
|
| 422 |
+
"eval_precision_weighted": 0.8724329736286257,
|
| 423 |
+
"eval_recall_macro": 0.8654324662838595,
|
| 424 |
+
"eval_recall_weighted": 0.8722222222222222,
|
| 425 |
+
"eval_runtime": 0.377,
|
| 426 |
+
"eval_samples_per_second": 477.489,
|
| 427 |
+
"eval_steps_per_second": 15.916,
|
| 428 |
+
"step": 561
|
| 429 |
+
}
|
| 430 |
+
],
|
| 431 |
+
"logging_steps": 25,
|
| 432 |
+
"max_steps": 1530,
|
| 433 |
+
"num_input_tokens_seen": 0,
|
| 434 |
+
"num_train_epochs": 30,
|
| 435 |
+
"save_steps": 500,
|
| 436 |
+
"stateful_callbacks": {
|
| 437 |
+
"EarlyStoppingCallback": {
|
| 438 |
+
"args": {
|
| 439 |
+
"early_stopping_patience": 5,
|
| 440 |
+
"early_stopping_threshold": 0.001
|
| 441 |
+
},
|
| 442 |
+
"attributes": {
|
| 443 |
+
"early_stopping_patience_counter": 5
|
| 444 |
+
}
|
| 445 |
+
},
|
| 446 |
+
"TrainerControl": {
|
| 447 |
+
"args": {
|
| 448 |
+
"should_epoch_stop": false,
|
| 449 |
+
"should_evaluate": false,
|
| 450 |
+
"should_log": false,
|
| 451 |
+
"should_save": true,
|
| 452 |
+
"should_training_stop": true
|
| 453 |
+
},
|
| 454 |
+
"attributes": {}
|
| 455 |
+
}
|
| 456 |
+
},
|
| 457 |
+
"total_flos": 2331442028348928.0,
|
| 458 |
+
"train_batch_size": 16,
|
| 459 |
+
"trial_name": null,
|
| 460 |
+
"trial_params": null
|
| 461 |
+
}
|
telecom_marabert_large_full_pipeline/checkpoint-561/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f988eeda8a1fc14cbf1fe7dca7e292179f39245156399c748eeca11dad745279
|
| 3 |
+
size 5905
|
telecom_marabert_large_full_pipeline/checkpoint-561/vocab.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
telecom_marabert_large_full_pipeline/config.json
ADDED
|
@@ -0,0 +1,55 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"BertForSequenceClassification"
|
| 4 |
+
],
|
| 5 |
+
"attention_probs_dropout_prob": 0.1,
|
| 6 |
+
"classifier_dropout": null,
|
| 7 |
+
"directionality": "bidi",
|
| 8 |
+
"dtype": "float32",
|
| 9 |
+
"gradient_checkpointing": false,
|
| 10 |
+
"hidden_act": "gelu",
|
| 11 |
+
"hidden_dropout_prob": 0.1,
|
| 12 |
+
"hidden_size": 768,
|
| 13 |
+
"id2label": {
|
| 14 |
+
"0": "1",
|
| 15 |
+
"1": "2",
|
| 16 |
+
"2": "3",
|
| 17 |
+
"3": "4",
|
| 18 |
+
"4": "5",
|
| 19 |
+
"5": "6",
|
| 20 |
+
"6": "7",
|
| 21 |
+
"7": "8",
|
| 22 |
+
"8": "9"
|
| 23 |
+
},
|
| 24 |
+
"initializer_range": 0.02,
|
| 25 |
+
"intermediate_size": 3072,
|
| 26 |
+
"label2id": {
|
| 27 |
+
"0": 1,
|
| 28 |
+
"1": 2,
|
| 29 |
+
"2": 3,
|
| 30 |
+
"3": 4,
|
| 31 |
+
"4": 5,
|
| 32 |
+
"5": 6,
|
| 33 |
+
"6": 7,
|
| 34 |
+
"7": 8,
|
| 35 |
+
"8": 9
|
| 36 |
+
},
|
| 37 |
+
"layer_norm_eps": 1e-12,
|
| 38 |
+
"max_position_embeddings": 512,
|
| 39 |
+
"model_type": "bert",
|
| 40 |
+
"num_attention_heads": 12,
|
| 41 |
+
"num_hidden_layers": 12,
|
| 42 |
+
"pad_token_id": 0,
|
| 43 |
+
"pooler_fc_size": 768,
|
| 44 |
+
"pooler_num_attention_heads": 12,
|
| 45 |
+
"pooler_num_fc_layers": 3,
|
| 46 |
+
"pooler_size_per_head": 128,
|
| 47 |
+
"pooler_type": "first_token_transform",
|
| 48 |
+
"position_embedding_type": "absolute",
|
| 49 |
+
"transformers_version": "4.57.3",
|
| 50 |
+
"type_vocab_size": 2,
|
| 51 |
+
"use_cache": true,
|
| 52 |
+
"vocab_size": 100000,
|
| 53 |
+
"num_labels": 9,
|
| 54 |
+
"problem_type": "single_label_classification"
|
| 55 |
+
}
|
telecom_marabert_large_full_pipeline/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a3bf93c2e7faae9340d928e41440193d5bb83b0ea4d4d8db23f0665daa351c9a
|
| 3 |
+
size 651416604
|
telecom_marabert_large_full_pipeline/special_tokens_map.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"cls_token": {
|
| 3 |
+
"content": "[CLS]",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"mask_token": {
|
| 10 |
+
"content": "[MASK]",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "[PAD]",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"sep_token": {
|
| 24 |
+
"content": "[SEP]",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"unk_token": {
|
| 31 |
+
"content": "[UNK]",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
}
|
| 37 |
+
}
|
telecom_marabert_large_full_pipeline/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
telecom_marabert_large_full_pipeline/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": "[UNK]",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "[CLS]",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"3": {
|
| 28 |
+
"content": "[SEP]",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"4": {
|
| 36 |
+
"content": "[MASK]",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"clean_up_tokenization_spaces": true,
|
| 45 |
+
"cls_token": "[CLS]",
|
| 46 |
+
"do_basic_tokenize": true,
|
| 47 |
+
"do_lower_case": true,
|
| 48 |
+
"extra_special_tokens": {},
|
| 49 |
+
"mask_token": "[MASK]",
|
| 50 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 51 |
+
"never_split": null,
|
| 52 |
+
"pad_token": "[PAD]",
|
| 53 |
+
"sep_token": "[SEP]",
|
| 54 |
+
"strip_accents": null,
|
| 55 |
+
"tokenize_chinese_chars": true,
|
| 56 |
+
"tokenizer_class": "BertTokenizer",
|
| 57 |
+
"unk_token": "[UNK]"
|
| 58 |
+
}
|
telecom_marabert_large_full_pipeline/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f988eeda8a1fc14cbf1fe7dca7e292179f39245156399c748eeca11dad745279
|
| 3 |
+
size 5905
|
telecom_marabert_large_full_pipeline/vocab.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
telecom_marbertv2_cpt_ft/checkpoint-3500/config.json
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"BertForSequenceClassification"
|
| 4 |
+
],
|
| 5 |
+
"attention_probs_dropout_prob": 0.1,
|
| 6 |
+
"classifier_dropout": null,
|
| 7 |
+
"directionality": "bidi",
|
| 8 |
+
"dtype": "float32",
|
| 9 |
+
"gradient_checkpointing": false,
|
| 10 |
+
"hidden_act": "gelu",
|
| 11 |
+
"hidden_dropout_prob": 0.1,
|
| 12 |
+
"hidden_size": 768,
|
| 13 |
+
"id2label": {
|
| 14 |
+
"0": "1",
|
| 15 |
+
"1": "2",
|
| 16 |
+
"2": "3",
|
| 17 |
+
"3": "4",
|
| 18 |
+
"4": "5",
|
| 19 |
+
"5": "6",
|
| 20 |
+
"6": "7",
|
| 21 |
+
"7": "8",
|
| 22 |
+
"8": "9"
|
| 23 |
+
},
|
| 24 |
+
"initializer_range": 0.02,
|
| 25 |
+
"intermediate_size": 3072,
|
| 26 |
+
"label2id": {
|
| 27 |
+
"0": 1,
|
| 28 |
+
"1": 2,
|
| 29 |
+
"2": 3,
|
| 30 |
+
"3": 4,
|
| 31 |
+
"4": 5,
|
| 32 |
+
"5": 6,
|
| 33 |
+
"6": 7,
|
| 34 |
+
"7": 8,
|
| 35 |
+
"8": 9
|
| 36 |
+
},
|
| 37 |
+
"layer_norm_eps": 1e-12,
|
| 38 |
+
"max_position_embeddings": 512,
|
| 39 |
+
"model_type": "bert",
|
| 40 |
+
"num_attention_heads": 12,
|
| 41 |
+
"num_hidden_layers": 12,
|
| 42 |
+
"pad_token_id": 0,
|
| 43 |
+
"pooler_fc_size": 768,
|
| 44 |
+
"pooler_num_attention_heads": 12,
|
| 45 |
+
"pooler_num_fc_layers": 3,
|
| 46 |
+
"pooler_size_per_head": 128,
|
| 47 |
+
"pooler_type": "first_token_transform",
|
| 48 |
+
"position_embedding_type": "absolute",
|
| 49 |
+
"problem_type": "single_label_classification",
|
| 50 |
+
"transformers_version": "4.57.3",
|
| 51 |
+
"type_vocab_size": 2,
|
| 52 |
+
"use_cache": true,
|
| 53 |
+
"vocab_size": 100000
|
| 54 |
+
}
|
telecom_marbertv2_cpt_ft/checkpoint-3500/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:59f278354228c28cff06335262b0f786a1cdd0ed8f56502f743b33ad6d3efc62
|
| 3 |
+
size 651416604
|
telecom_marbertv2_cpt_ft/checkpoint-3500/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b39f43ac12acf0f23032c62df37bdf1e0593509cf418ad91fb82178960d4da26
|
| 3 |
+
size 1302957451
|
telecom_marbertv2_cpt_ft/checkpoint-3500/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:16c4b35aee0bbaeee4ff40ea0ec57a691c91ae4126d7f2611b0621dcea397d18
|
| 3 |
+
size 14645
|
telecom_marbertv2_cpt_ft/checkpoint-3500/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fba3938712732ea9a2d4d892486d311187e6b050bac015163f3186f8c0ea04f4
|
| 3 |
+
size 1465
|
telecom_marbertv2_cpt_ft/checkpoint-3500/special_tokens_map.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"cls_token": {
|
| 3 |
+
"content": "[CLS]",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"mask_token": {
|
| 10 |
+
"content": "[MASK]",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "[PAD]",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"sep_token": {
|
| 24 |
+
"content": "[SEP]",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"unk_token": {
|
| 31 |
+
"content": "[UNK]",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
}
|
| 37 |
+
}
|
telecom_marbertv2_cpt_ft/checkpoint-3500/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
telecom_marbertv2_cpt_ft/checkpoint-3500/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": "[UNK]",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "[CLS]",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"3": {
|
| 28 |
+
"content": "[SEP]",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"4": {
|
| 36 |
+
"content": "[MASK]",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"clean_up_tokenization_spaces": true,
|
| 45 |
+
"cls_token": "[CLS]",
|
| 46 |
+
"do_basic_tokenize": true,
|
| 47 |
+
"do_lower_case": true,
|
| 48 |
+
"extra_special_tokens": {},
|
| 49 |
+
"mask_token": "[MASK]",
|
| 50 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 51 |
+
"never_split": null,
|
| 52 |
+
"pad_token": "[PAD]",
|
| 53 |
+
"sep_token": "[SEP]",
|
| 54 |
+
"strip_accents": null,
|
| 55 |
+
"tokenize_chinese_chars": true,
|
| 56 |
+
"tokenizer_class": "BertTokenizer",
|
| 57 |
+
"unk_token": "[UNK]"
|
| 58 |
+
}
|
telecom_marbertv2_cpt_ft/checkpoint-3500/trainer_state.json
ADDED
|
@@ -0,0 +1,524 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 68.62745098039215,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 3500,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.9803921568627451,
|
| 14 |
+
"grad_norm": 1.306965947151184,
|
| 15 |
+
"learning_rate": 2.7450980392156867e-06,
|
| 16 |
+
"loss": 2.2062,
|
| 17 |
+
"step": 50
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 1.9607843137254903,
|
| 21 |
+
"grad_norm": 1.702431559562683,
|
| 22 |
+
"learning_rate": 5.546218487394959e-06,
|
| 23 |
+
"loss": 2.1695,
|
| 24 |
+
"step": 100
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 2.9411764705882355,
|
| 28 |
+
"grad_norm": 2.5910568237304688,
|
| 29 |
+
"learning_rate": 8.34733893557423e-06,
|
| 30 |
+
"loss": 2.014,
|
| 31 |
+
"step": 150
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 3.9215686274509802,
|
| 35 |
+
"grad_norm": 3.7203903198242188,
|
| 36 |
+
"learning_rate": 1.1148459383753503e-05,
|
| 37 |
+
"loss": 1.594,
|
| 38 |
+
"step": 200
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 4.901960784313726,
|
| 42 |
+
"grad_norm": 5.168037414550781,
|
| 43 |
+
"learning_rate": 1.3949579831932774e-05,
|
| 44 |
+
"loss": 1.1392,
|
| 45 |
+
"step": 250
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 5.882352941176471,
|
| 49 |
+
"grad_norm": 6.241028785705566,
|
| 50 |
+
"learning_rate": 1.6750700280112046e-05,
|
| 51 |
+
"loss": 0.832,
|
| 52 |
+
"step": 300
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 6.862745098039216,
|
| 56 |
+
"grad_norm": 6.874265193939209,
|
| 57 |
+
"learning_rate": 1.9551820728291318e-05,
|
| 58 |
+
"loss": 0.6115,
|
| 59 |
+
"step": 350
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 7.8431372549019605,
|
| 63 |
+
"grad_norm": 8.241349220275879,
|
| 64 |
+
"learning_rate": 1.973856209150327e-05,
|
| 65 |
+
"loss": 0.4274,
|
| 66 |
+
"step": 400
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 8.823529411764707,
|
| 70 |
+
"grad_norm": 11.996331214904785,
|
| 71 |
+
"learning_rate": 1.9427326486150017e-05,
|
| 72 |
+
"loss": 0.2847,
|
| 73 |
+
"step": 450
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 9.803921568627452,
|
| 77 |
+
"grad_norm": 8.437224388122559,
|
| 78 |
+
"learning_rate": 1.9116090880796766e-05,
|
| 79 |
+
"loss": 0.209,
|
| 80 |
+
"step": 500
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 10.784313725490197,
|
| 84 |
+
"grad_norm": 4.417978763580322,
|
| 85 |
+
"learning_rate": 1.880485527544351e-05,
|
| 86 |
+
"loss": 0.1514,
|
| 87 |
+
"step": 550
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 11.764705882352942,
|
| 91 |
+
"grad_norm": 0.3415707051753998,
|
| 92 |
+
"learning_rate": 1.849361967009026e-05,
|
| 93 |
+
"loss": 0.105,
|
| 94 |
+
"step": 600
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 12.745098039215687,
|
| 98 |
+
"grad_norm": 1.3661662340164185,
|
| 99 |
+
"learning_rate": 1.8182384064737007e-05,
|
| 100 |
+
"loss": 0.0807,
|
| 101 |
+
"step": 650
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 13.72549019607843,
|
| 105 |
+
"grad_norm": 0.7777091264724731,
|
| 106 |
+
"learning_rate": 1.7871148459383755e-05,
|
| 107 |
+
"loss": 0.0617,
|
| 108 |
+
"step": 700
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 14.705882352941176,
|
| 112 |
+
"grad_norm": 0.9965397715568542,
|
| 113 |
+
"learning_rate": 1.7559912854030504e-05,
|
| 114 |
+
"loss": 0.0417,
|
| 115 |
+
"step": 750
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 15.686274509803921,
|
| 119 |
+
"grad_norm": 0.09024341404438019,
|
| 120 |
+
"learning_rate": 1.724867724867725e-05,
|
| 121 |
+
"loss": 0.0555,
|
| 122 |
+
"step": 800
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 16.666666666666668,
|
| 126 |
+
"grad_norm": 11.35683822631836,
|
| 127 |
+
"learning_rate": 1.6937441643323997e-05,
|
| 128 |
+
"loss": 0.0244,
|
| 129 |
+
"step": 850
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 17.647058823529413,
|
| 133 |
+
"grad_norm": 0.06510096788406372,
|
| 134 |
+
"learning_rate": 1.6626206037970745e-05,
|
| 135 |
+
"loss": 0.0231,
|
| 136 |
+
"step": 900
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 18.627450980392158,
|
| 140 |
+
"grad_norm": 0.05045614019036293,
|
| 141 |
+
"learning_rate": 1.631497043261749e-05,
|
| 142 |
+
"loss": 0.0166,
|
| 143 |
+
"step": 950
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 19.607843137254903,
|
| 147 |
+
"grad_norm": 0.06423764675855637,
|
| 148 |
+
"learning_rate": 1.6003734827264242e-05,
|
| 149 |
+
"loss": 0.02,
|
| 150 |
+
"step": 1000
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 20.58823529411765,
|
| 154 |
+
"grad_norm": 0.037640661001205444,
|
| 155 |
+
"learning_rate": 1.5692499221910987e-05,
|
| 156 |
+
"loss": 0.0128,
|
| 157 |
+
"step": 1050
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 21.568627450980394,
|
| 161 |
+
"grad_norm": 0.42402613162994385,
|
| 162 |
+
"learning_rate": 1.5381263616557735e-05,
|
| 163 |
+
"loss": 0.0174,
|
| 164 |
+
"step": 1100
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 22.54901960784314,
|
| 168 |
+
"grad_norm": 0.0321834422647953,
|
| 169 |
+
"learning_rate": 1.5070028011204482e-05,
|
| 170 |
+
"loss": 0.0108,
|
| 171 |
+
"step": 1150
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 23.529411764705884,
|
| 175 |
+
"grad_norm": 0.03194517642259598,
|
| 176 |
+
"learning_rate": 1.475879240585123e-05,
|
| 177 |
+
"loss": 0.0111,
|
| 178 |
+
"step": 1200
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 24.509803921568626,
|
| 182 |
+
"grad_norm": 0.026620032265782356,
|
| 183 |
+
"learning_rate": 1.4447556800497977e-05,
|
| 184 |
+
"loss": 0.0126,
|
| 185 |
+
"step": 1250
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 25.49019607843137,
|
| 189 |
+
"grad_norm": 0.02269897237420082,
|
| 190 |
+
"learning_rate": 1.4136321195144727e-05,
|
| 191 |
+
"loss": 0.0095,
|
| 192 |
+
"step": 1300
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 26.470588235294116,
|
| 196 |
+
"grad_norm": 0.30052125453948975,
|
| 197 |
+
"learning_rate": 1.3825085589791474e-05,
|
| 198 |
+
"loss": 0.0084,
|
| 199 |
+
"step": 1350
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 27.45098039215686,
|
| 203 |
+
"grad_norm": 0.5096309185028076,
|
| 204 |
+
"learning_rate": 1.351384998443822e-05,
|
| 205 |
+
"loss": 0.0052,
|
| 206 |
+
"step": 1400
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 28.431372549019606,
|
| 210 |
+
"grad_norm": 0.023257585242390633,
|
| 211 |
+
"learning_rate": 1.3202614379084969e-05,
|
| 212 |
+
"loss": 0.008,
|
| 213 |
+
"step": 1450
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 29.41176470588235,
|
| 217 |
+
"grad_norm": 0.017219331115484238,
|
| 218 |
+
"learning_rate": 1.2891378773731715e-05,
|
| 219 |
+
"loss": 0.0058,
|
| 220 |
+
"step": 1500
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 30.392156862745097,
|
| 224 |
+
"grad_norm": 0.01873333752155304,
|
| 225 |
+
"learning_rate": 1.2580143168378462e-05,
|
| 226 |
+
"loss": 0.0067,
|
| 227 |
+
"step": 1550
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 31.372549019607842,
|
| 231 |
+
"grad_norm": 0.02165828086435795,
|
| 232 |
+
"learning_rate": 1.2268907563025212e-05,
|
| 233 |
+
"loss": 0.0056,
|
| 234 |
+
"step": 1600
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 32.35294117647059,
|
| 238 |
+
"grad_norm": 0.01725042052567005,
|
| 239 |
+
"learning_rate": 1.1957671957671959e-05,
|
| 240 |
+
"loss": 0.0073,
|
| 241 |
+
"step": 1650
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 33.333333333333336,
|
| 245 |
+
"grad_norm": 0.02131626009941101,
|
| 246 |
+
"learning_rate": 1.1646436352318707e-05,
|
| 247 |
+
"loss": 0.0058,
|
| 248 |
+
"step": 1700
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 34.31372549019608,
|
| 252 |
+
"grad_norm": 0.013201112858951092,
|
| 253 |
+
"learning_rate": 1.1335200746965454e-05,
|
| 254 |
+
"loss": 0.0062,
|
| 255 |
+
"step": 1750
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 35.294117647058826,
|
| 259 |
+
"grad_norm": 0.016260718926787376,
|
| 260 |
+
"learning_rate": 1.10239651416122e-05,
|
| 261 |
+
"loss": 0.0046,
|
| 262 |
+
"step": 1800
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 36.27450980392157,
|
| 266 |
+
"grad_norm": 0.033385492861270905,
|
| 267 |
+
"learning_rate": 1.0712729536258948e-05,
|
| 268 |
+
"loss": 0.006,
|
| 269 |
+
"step": 1850
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 37.254901960784316,
|
| 273 |
+
"grad_norm": 0.011549146845936775,
|
| 274 |
+
"learning_rate": 1.0401493930905697e-05,
|
| 275 |
+
"loss": 0.0064,
|
| 276 |
+
"step": 1900
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 38.23529411764706,
|
| 280 |
+
"grad_norm": 0.012482107616961002,
|
| 281 |
+
"learning_rate": 1.0090258325552445e-05,
|
| 282 |
+
"loss": 0.0048,
|
| 283 |
+
"step": 1950
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 39.21568627450981,
|
| 287 |
+
"grad_norm": 0.010968800634145737,
|
| 288 |
+
"learning_rate": 9.779022720199192e-06,
|
| 289 |
+
"loss": 0.0047,
|
| 290 |
+
"step": 2000
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 40.19607843137255,
|
| 294 |
+
"grad_norm": 0.47498399019241333,
|
| 295 |
+
"learning_rate": 9.467787114845938e-06,
|
| 296 |
+
"loss": 0.0073,
|
| 297 |
+
"step": 2050
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 41.1764705882353,
|
| 301 |
+
"grad_norm": 0.011364293284714222,
|
| 302 |
+
"learning_rate": 9.156551509492687e-06,
|
| 303 |
+
"loss": 0.0035,
|
| 304 |
+
"step": 2100
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 42.15686274509804,
|
| 308 |
+
"grad_norm": 0.009123931638896465,
|
| 309 |
+
"learning_rate": 8.845315904139435e-06,
|
| 310 |
+
"loss": 0.0049,
|
| 311 |
+
"step": 2150
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 43.13725490196079,
|
| 315 |
+
"grad_norm": 0.4411880373954773,
|
| 316 |
+
"learning_rate": 8.534080298786182e-06,
|
| 317 |
+
"loss": 0.0057,
|
| 318 |
+
"step": 2200
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 44.11764705882353,
|
| 322 |
+
"grad_norm": 0.00864217709749937,
|
| 323 |
+
"learning_rate": 8.22284469343293e-06,
|
| 324 |
+
"loss": 0.0038,
|
| 325 |
+
"step": 2250
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 45.09803921568628,
|
| 329 |
+
"grad_norm": 0.009198697283864021,
|
| 330 |
+
"learning_rate": 7.911609088079677e-06,
|
| 331 |
+
"loss": 0.0055,
|
| 332 |
+
"step": 2300
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 46.07843137254902,
|
| 336 |
+
"grad_norm": 0.4228628873825073,
|
| 337 |
+
"learning_rate": 7.600373482726424e-06,
|
| 338 |
+
"loss": 0.0044,
|
| 339 |
+
"step": 2350
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 47.05882352941177,
|
| 343 |
+
"grad_norm": 0.009074629284441471,
|
| 344 |
+
"learning_rate": 7.2891378773731725e-06,
|
| 345 |
+
"loss": 0.0048,
|
| 346 |
+
"step": 2400
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 48.03921568627451,
|
| 350 |
+
"grad_norm": 0.007762749679386616,
|
| 351 |
+
"learning_rate": 6.97790227201992e-06,
|
| 352 |
+
"loss": 0.0042,
|
| 353 |
+
"step": 2450
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 49.01960784313726,
|
| 357 |
+
"grad_norm": 0.010210619308054447,
|
| 358 |
+
"learning_rate": 6.666666666666667e-06,
|
| 359 |
+
"loss": 0.0041,
|
| 360 |
+
"step": 2500
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 50.0,
|
| 364 |
+
"grad_norm": 0.011346593499183655,
|
| 365 |
+
"learning_rate": 6.355431061313415e-06,
|
| 366 |
+
"loss": 0.0046,
|
| 367 |
+
"step": 2550
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 50.98039215686274,
|
| 371 |
+
"grad_norm": 0.007517909165471792,
|
| 372 |
+
"learning_rate": 6.0441954559601625e-06,
|
| 373 |
+
"loss": 0.0048,
|
| 374 |
+
"step": 2600
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 51.96078431372549,
|
| 378 |
+
"grad_norm": 0.00800730474293232,
|
| 379 |
+
"learning_rate": 5.732959850606909e-06,
|
| 380 |
+
"loss": 0.0042,
|
| 381 |
+
"step": 2650
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 52.94117647058823,
|
| 385 |
+
"grad_norm": 0.008079170249402523,
|
| 386 |
+
"learning_rate": 5.4217242452536574e-06,
|
| 387 |
+
"loss": 0.0043,
|
| 388 |
+
"step": 2700
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 53.92156862745098,
|
| 392 |
+
"grad_norm": 0.006971494760364294,
|
| 393 |
+
"learning_rate": 5.110488639900405e-06,
|
| 394 |
+
"loss": 0.0044,
|
| 395 |
+
"step": 2750
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 54.90196078431372,
|
| 399 |
+
"grad_norm": 0.4812173843383789,
|
| 400 |
+
"learning_rate": 4.799253034547152e-06,
|
| 401 |
+
"loss": 0.0041,
|
| 402 |
+
"step": 2800
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 55.88235294117647,
|
| 406 |
+
"grad_norm": 0.007991774939000607,
|
| 407 |
+
"learning_rate": 4.4880174291939e-06,
|
| 408 |
+
"loss": 0.0034,
|
| 409 |
+
"step": 2850
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 56.86274509803921,
|
| 413 |
+
"grad_norm": 0.008251671679317951,
|
| 414 |
+
"learning_rate": 4.176781823840647e-06,
|
| 415 |
+
"loss": 0.004,
|
| 416 |
+
"step": 2900
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 57.84313725490196,
|
| 420 |
+
"grad_norm": 0.008690707385540009,
|
| 421 |
+
"learning_rate": 3.865546218487396e-06,
|
| 422 |
+
"loss": 0.004,
|
| 423 |
+
"step": 2950
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 58.8235294117647,
|
| 427 |
+
"grad_norm": 0.007442942820489407,
|
| 428 |
+
"learning_rate": 3.5543106131341428e-06,
|
| 429 |
+
"loss": 0.0034,
|
| 430 |
+
"step": 3000
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 59.80392156862745,
|
| 434 |
+
"grad_norm": 0.0063288831152021885,
|
| 435 |
+
"learning_rate": 3.2430750077808903e-06,
|
| 436 |
+
"loss": 0.0045,
|
| 437 |
+
"step": 3050
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 60.78431372549019,
|
| 441 |
+
"grad_norm": 0.006511453073471785,
|
| 442 |
+
"learning_rate": 2.931839402427638e-06,
|
| 443 |
+
"loss": 0.0075,
|
| 444 |
+
"step": 3100
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 61.76470588235294,
|
| 448 |
+
"grad_norm": 0.007184595800936222,
|
| 449 |
+
"learning_rate": 2.6206037970743852e-06,
|
| 450 |
+
"loss": 0.0043,
|
| 451 |
+
"step": 3150
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 62.745098039215684,
|
| 455 |
+
"grad_norm": 0.007260785438120365,
|
| 456 |
+
"learning_rate": 2.309368191721133e-06,
|
| 457 |
+
"loss": 0.0026,
|
| 458 |
+
"step": 3200
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 63.72549019607843,
|
| 462 |
+
"grad_norm": 0.007063099183142185,
|
| 463 |
+
"learning_rate": 1.9981325863678806e-06,
|
| 464 |
+
"loss": 0.0046,
|
| 465 |
+
"step": 3250
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 64.70588235294117,
|
| 469 |
+
"grad_norm": 0.006402399856597185,
|
| 470 |
+
"learning_rate": 1.6868969810146283e-06,
|
| 471 |
+
"loss": 0.0043,
|
| 472 |
+
"step": 3300
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 65.68627450980392,
|
| 476 |
+
"grad_norm": 0.007472318597137928,
|
| 477 |
+
"learning_rate": 1.3756613756613758e-06,
|
| 478 |
+
"loss": 0.0045,
|
| 479 |
+
"step": 3350
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 66.66666666666667,
|
| 483 |
+
"grad_norm": 0.006515247281640768,
|
| 484 |
+
"learning_rate": 1.0644257703081233e-06,
|
| 485 |
+
"loss": 0.0046,
|
| 486 |
+
"step": 3400
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 67.6470588235294,
|
| 490 |
+
"grad_norm": 0.00874197855591774,
|
| 491 |
+
"learning_rate": 7.531901649548709e-07,
|
| 492 |
+
"loss": 0.0034,
|
| 493 |
+
"step": 3450
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 68.62745098039215,
|
| 497 |
+
"grad_norm": 0.009945135563611984,
|
| 498 |
+
"learning_rate": 4.419545596016184e-07,
|
| 499 |
+
"loss": 0.0046,
|
| 500 |
+
"step": 3500
|
| 501 |
+
}
|
| 502 |
+
],
|
| 503 |
+
"logging_steps": 50,
|
| 504 |
+
"max_steps": 3570,
|
| 505 |
+
"num_input_tokens_seen": 0,
|
| 506 |
+
"num_train_epochs": 70,
|
| 507 |
+
"save_steps": 500,
|
| 508 |
+
"stateful_callbacks": {
|
| 509 |
+
"TrainerControl": {
|
| 510 |
+
"args": {
|
| 511 |
+
"should_epoch_stop": false,
|
| 512 |
+
"should_evaluate": false,
|
| 513 |
+
"should_log": false,
|
| 514 |
+
"should_save": true,
|
| 515 |
+
"should_training_stop": false
|
| 516 |
+
},
|
| 517 |
+
"attributes": {}
|
| 518 |
+
}
|
| 519 |
+
},
|
| 520 |
+
"total_flos": 2.909454409554739e+16,
|
| 521 |
+
"train_batch_size": 32,
|
| 522 |
+
"trial_name": null,
|
| 523 |
+
"trial_params": null
|
| 524 |
+
}
|
telecom_marbertv2_cpt_ft/checkpoint-3500/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5e7cd97a72ee3db6153e4a7b80b50cb78726745bcba2c134a4831146d5326afd
|
| 3 |
+
size 5841
|