Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- checkpoint-3576/config.json +39 -0
- checkpoint-3576/model.safetensors +3 -0
- checkpoint-3576/optimizer.pt +3 -0
- checkpoint-3576/rng_state.pth +3 -0
- checkpoint-3576/scheduler.pt +3 -0
- checkpoint-3576/trainer_state.json +611 -0
- checkpoint-3576/training_args.bin +3 -0
- checkpoint-4023/config.json +39 -0
- checkpoint-4023/model.safetensors +3 -0
- checkpoint-4023/optimizer.pt +3 -0
- checkpoint-4023/rng_state.pth +3 -0
- checkpoint-4023/scheduler.pt +3 -0
- checkpoint-4023/trainer_state.json +683 -0
- checkpoint-4023/training_args.bin +3 -0
- checkpoint-4470/config.json +39 -0
- checkpoint-4470/model.safetensors +3 -0
- checkpoint-4470/optimizer.pt +3 -0
- checkpoint-4470/rng_state.pth +3 -0
- checkpoint-4470/scheduler.pt +3 -0
- checkpoint-4470/trainer_state.json +755 -0
- checkpoint-4470/training_args.bin +3 -0
- config.json +39 -0
- model.safetensors +3 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +15 -0
- tokenizer.json +3 -0
- tokenizer_config.json +55 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
checkpoint-3576/config.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "FacebookAI/xlm-roberta-base",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"XLMRobertaForSequenceClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.1,
|
| 7 |
+
"bos_token_id": 0,
|
| 8 |
+
"classifier_dropout": null,
|
| 9 |
+
"eos_token_id": 2,
|
| 10 |
+
"hidden_act": "gelu",
|
| 11 |
+
"hidden_dropout_prob": 0.1,
|
| 12 |
+
"hidden_size": 768,
|
| 13 |
+
"id2label": {
|
| 14 |
+
"0": "LABEL_0",
|
| 15 |
+
"1": "LABEL_1",
|
| 16 |
+
"2": "LABEL_2"
|
| 17 |
+
},
|
| 18 |
+
"initializer_range": 0.02,
|
| 19 |
+
"intermediate_size": 3072,
|
| 20 |
+
"label2id": {
|
| 21 |
+
"LABEL_0": 0,
|
| 22 |
+
"LABEL_1": 1,
|
| 23 |
+
"LABEL_2": 2
|
| 24 |
+
},
|
| 25 |
+
"layer_norm_eps": 1e-05,
|
| 26 |
+
"max_position_embeddings": 514,
|
| 27 |
+
"model_type": "xlm-roberta",
|
| 28 |
+
"num_attention_heads": 12,
|
| 29 |
+
"num_hidden_layers": 16,
|
| 30 |
+
"output_past": true,
|
| 31 |
+
"pad_token_id": 1,
|
| 32 |
+
"position_embedding_type": "absolute",
|
| 33 |
+
"problem_type": "single_label_classification",
|
| 34 |
+
"torch_dtype": "float32",
|
| 35 |
+
"transformers_version": "4.47.1",
|
| 36 |
+
"type_vocab_size": 1,
|
| 37 |
+
"use_cache": true,
|
| 38 |
+
"vocab_size": 250002
|
| 39 |
+
}
|
checkpoint-3576/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:702c4654277aef1f15073d207ced085dca6d4939dfe9e49b9ae49a4c4242703d
|
| 3 |
+
size 1225621956
|
checkpoint-3576/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3964c92331c3373e4cc30d81611884c4a460d90f761f8b23c9874885e9ec9bcc
|
| 3 |
+
size 2451401082
|
checkpoint-3576/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d927a08a1939df0a42e6b6a00e09f54423ac03e9ef75e54d8b79a1e1189a213a
|
| 3 |
+
size 14244
|
checkpoint-3576/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:79255366b727d152370d7b0ccc283bb95912d01c568edf92caf755fd00ffc501
|
| 3 |
+
size 1064
|
checkpoint-3576/trainer_state.json
ADDED
|
@@ -0,0 +1,611 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.8825053995680345,
|
| 3 |
+
"best_model_checkpoint": "./sentiment_model/checkpoint-3129",
|
| 4 |
+
"epoch": 8.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 3576,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.11185682326621924,
|
| 13 |
+
"grad_norm": 18.68804168701172,
|
| 14 |
+
"learning_rate": 5.3691275167785235e-06,
|
| 15 |
+
"loss": 4.4686,
|
| 16 |
+
"step": 50
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.22371364653243847,
|
| 20 |
+
"grad_norm": 33.30501937866211,
|
| 21 |
+
"learning_rate": 1.0738255033557047e-05,
|
| 22 |
+
"loss": 4.0139,
|
| 23 |
+
"step": 100
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.33557046979865773,
|
| 27 |
+
"grad_norm": 48.02063751220703,
|
| 28 |
+
"learning_rate": 1.633109619686801e-05,
|
| 29 |
+
"loss": 2.9933,
|
| 30 |
+
"step": 150
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.44742729306487694,
|
| 34 |
+
"grad_norm": 35.39257049560547,
|
| 35 |
+
"learning_rate": 2.192393736017897e-05,
|
| 36 |
+
"loss": 2.5147,
|
| 37 |
+
"step": 200
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.5592841163310962,
|
| 41 |
+
"grad_norm": 39.318363189697266,
|
| 42 |
+
"learning_rate": 2.7404921700223713e-05,
|
| 43 |
+
"loss": 2.4221,
|
| 44 |
+
"step": 250
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.6711409395973155,
|
| 48 |
+
"grad_norm": 50.962833404541016,
|
| 49 |
+
"learning_rate": 3.2997762863534674e-05,
|
| 50 |
+
"loss": 2.3124,
|
| 51 |
+
"step": 300
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.7829977628635347,
|
| 55 |
+
"grad_norm": 37.32981491088867,
|
| 56 |
+
"learning_rate": 3.859060402684564e-05,
|
| 57 |
+
"loss": 2.4092,
|
| 58 |
+
"step": 350
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.8948545861297539,
|
| 62 |
+
"grad_norm": 32.42803955078125,
|
| 63 |
+
"learning_rate": 4.4183445190156604e-05,
|
| 64 |
+
"loss": 2.4183,
|
| 65 |
+
"step": 400
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 1.0,
|
| 69 |
+
"eval_accuracy": 0.7844492440604751,
|
| 70 |
+
"eval_loss": 0.5040740370750427,
|
| 71 |
+
"eval_runtime": 19.6714,
|
| 72 |
+
"eval_samples_per_second": 117.683,
|
| 73 |
+
"eval_steps_per_second": 3.711,
|
| 74 |
+
"step": 447
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 1.0067114093959733,
|
| 78 |
+
"grad_norm": 20.918420791625977,
|
| 79 |
+
"learning_rate": 4.977628635346757e-05,
|
| 80 |
+
"loss": 2.3532,
|
| 81 |
+
"step": 450
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 1.1185682326621924,
|
| 85 |
+
"grad_norm": 28.06084442138672,
|
| 86 |
+
"learning_rate": 4.94034302759135e-05,
|
| 87 |
+
"loss": 2.1244,
|
| 88 |
+
"step": 500
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"epoch": 1.2304250559284116,
|
| 92 |
+
"grad_norm": 40.768096923828125,
|
| 93 |
+
"learning_rate": 4.8782003479990054e-05,
|
| 94 |
+
"loss": 2.3004,
|
| 95 |
+
"step": 550
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"epoch": 1.342281879194631,
|
| 99 |
+
"grad_norm": 19.545913696289062,
|
| 100 |
+
"learning_rate": 4.816057668406662e-05,
|
| 101 |
+
"loss": 2.2399,
|
| 102 |
+
"step": 600
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"epoch": 1.45413870246085,
|
| 106 |
+
"grad_norm": 69.29216766357422,
|
| 107 |
+
"learning_rate": 4.753914988814318e-05,
|
| 108 |
+
"loss": 2.1458,
|
| 109 |
+
"step": 650
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"epoch": 1.5659955257270695,
|
| 113 |
+
"grad_norm": 29.00174903869629,
|
| 114 |
+
"learning_rate": 4.691772309221974e-05,
|
| 115 |
+
"loss": 2.0778,
|
| 116 |
+
"step": 700
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 1.6778523489932886,
|
| 120 |
+
"grad_norm": 28.77162742614746,
|
| 121 |
+
"learning_rate": 4.62962962962963e-05,
|
| 122 |
+
"loss": 2.1317,
|
| 123 |
+
"step": 750
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 1.7897091722595078,
|
| 127 |
+
"grad_norm": 36.04485321044922,
|
| 128 |
+
"learning_rate": 4.5674869500372856e-05,
|
| 129 |
+
"loss": 2.1345,
|
| 130 |
+
"step": 800
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"epoch": 1.901565995525727,
|
| 134 |
+
"grad_norm": 51.31829071044922,
|
| 135 |
+
"learning_rate": 4.505344270444942e-05,
|
| 136 |
+
"loss": 2.2048,
|
| 137 |
+
"step": 850
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 2.0,
|
| 141 |
+
"eval_accuracy": 0.8138228941684665,
|
| 142 |
+
"eval_loss": 0.43246370553970337,
|
| 143 |
+
"eval_runtime": 19.9941,
|
| 144 |
+
"eval_samples_per_second": 115.784,
|
| 145 |
+
"eval_steps_per_second": 3.651,
|
| 146 |
+
"step": 894
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 2.0134228187919465,
|
| 150 |
+
"grad_norm": 19.70203971862793,
|
| 151 |
+
"learning_rate": 4.443201590852597e-05,
|
| 152 |
+
"loss": 2.0482,
|
| 153 |
+
"step": 900
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 2.1252796420581657,
|
| 157 |
+
"grad_norm": 44.575721740722656,
|
| 158 |
+
"learning_rate": 4.381058911260254e-05,
|
| 159 |
+
"loss": 1.8304,
|
| 160 |
+
"step": 950
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"epoch": 2.237136465324385,
|
| 164 |
+
"grad_norm": 48.66209411621094,
|
| 165 |
+
"learning_rate": 4.31891623166791e-05,
|
| 166 |
+
"loss": 1.7784,
|
| 167 |
+
"step": 1000
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"epoch": 2.348993288590604,
|
| 171 |
+
"grad_norm": 19.984678268432617,
|
| 172 |
+
"learning_rate": 4.256773552075566e-05,
|
| 173 |
+
"loss": 1.8457,
|
| 174 |
+
"step": 1050
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 2.460850111856823,
|
| 178 |
+
"grad_norm": 64.9332275390625,
|
| 179 |
+
"learning_rate": 4.194630872483222e-05,
|
| 180 |
+
"loss": 1.7747,
|
| 181 |
+
"step": 1100
|
| 182 |
+
},
|
| 183 |
+
{
|
| 184 |
+
"epoch": 2.5727069351230423,
|
| 185 |
+
"grad_norm": 20.591524124145508,
|
| 186 |
+
"learning_rate": 4.1324881928908774e-05,
|
| 187 |
+
"loss": 1.9082,
|
| 188 |
+
"step": 1150
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 2.684563758389262,
|
| 192 |
+
"grad_norm": 24.512027740478516,
|
| 193 |
+
"learning_rate": 4.0703455132985336e-05,
|
| 194 |
+
"loss": 1.8399,
|
| 195 |
+
"step": 1200
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 2.796420581655481,
|
| 199 |
+
"grad_norm": 18.300504684448242,
|
| 200 |
+
"learning_rate": 4.00820283370619e-05,
|
| 201 |
+
"loss": 1.7937,
|
| 202 |
+
"step": 1250
|
| 203 |
+
},
|
| 204 |
+
{
|
| 205 |
+
"epoch": 2.9082774049217,
|
| 206 |
+
"grad_norm": 40.87727737426758,
|
| 207 |
+
"learning_rate": 3.946060154113845e-05,
|
| 208 |
+
"loss": 1.8174,
|
| 209 |
+
"step": 1300
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 3.0,
|
| 213 |
+
"eval_accuracy": 0.8535637149028078,
|
| 214 |
+
"eval_loss": 0.37263187766075134,
|
| 215 |
+
"eval_runtime": 19.6701,
|
| 216 |
+
"eval_samples_per_second": 117.691,
|
| 217 |
+
"eval_steps_per_second": 3.711,
|
| 218 |
+
"step": 1341
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 3.0201342281879193,
|
| 222 |
+
"grad_norm": 29.54434585571289,
|
| 223 |
+
"learning_rate": 3.883917474521502e-05,
|
| 224 |
+
"loss": 1.8262,
|
| 225 |
+
"step": 1350
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"epoch": 3.131991051454139,
|
| 229 |
+
"grad_norm": 19.222951889038086,
|
| 230 |
+
"learning_rate": 3.8217747949291576e-05,
|
| 231 |
+
"loss": 1.5486,
|
| 232 |
+
"step": 1400
|
| 233 |
+
},
|
| 234 |
+
{
|
| 235 |
+
"epoch": 3.243847874720358,
|
| 236 |
+
"grad_norm": 36.32904052734375,
|
| 237 |
+
"learning_rate": 3.759632115336814e-05,
|
| 238 |
+
"loss": 1.5273,
|
| 239 |
+
"step": 1450
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 3.3557046979865772,
|
| 243 |
+
"grad_norm": 27.05373764038086,
|
| 244 |
+
"learning_rate": 3.697489435744469e-05,
|
| 245 |
+
"loss": 1.5796,
|
| 246 |
+
"step": 1500
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"epoch": 3.4675615212527964,
|
| 250 |
+
"grad_norm": 50.08060836791992,
|
| 251 |
+
"learning_rate": 3.6353467561521254e-05,
|
| 252 |
+
"loss": 1.5104,
|
| 253 |
+
"step": 1550
|
| 254 |
+
},
|
| 255 |
+
{
|
| 256 |
+
"epoch": 3.5794183445190155,
|
| 257 |
+
"grad_norm": 29.98794174194336,
|
| 258 |
+
"learning_rate": 3.5732040765597816e-05,
|
| 259 |
+
"loss": 1.6298,
|
| 260 |
+
"step": 1600
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 3.6912751677852347,
|
| 264 |
+
"grad_norm": 33.08045196533203,
|
| 265 |
+
"learning_rate": 3.511061396967437e-05,
|
| 266 |
+
"loss": 1.4769,
|
| 267 |
+
"step": 1650
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 3.8031319910514543,
|
| 271 |
+
"grad_norm": 30.475862503051758,
|
| 272 |
+
"learning_rate": 3.448918717375094e-05,
|
| 273 |
+
"loss": 1.547,
|
| 274 |
+
"step": 1700
|
| 275 |
+
},
|
| 276 |
+
{
|
| 277 |
+
"epoch": 3.9149888143176734,
|
| 278 |
+
"grad_norm": 29.52466583251953,
|
| 279 |
+
"learning_rate": 3.3867760377827495e-05,
|
| 280 |
+
"loss": 1.4918,
|
| 281 |
+
"step": 1750
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 4.0,
|
| 285 |
+
"eval_accuracy": 0.8501079913606912,
|
| 286 |
+
"eval_loss": 0.38409608602523804,
|
| 287 |
+
"eval_runtime": 19.6128,
|
| 288 |
+
"eval_samples_per_second": 118.035,
|
| 289 |
+
"eval_steps_per_second": 3.722,
|
| 290 |
+
"step": 1788
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 4.026845637583893,
|
| 294 |
+
"grad_norm": 27.849456787109375,
|
| 295 |
+
"learning_rate": 3.3246333581904056e-05,
|
| 296 |
+
"loss": 1.4653,
|
| 297 |
+
"step": 1800
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 4.138702460850112,
|
| 301 |
+
"grad_norm": 39.9719123840332,
|
| 302 |
+
"learning_rate": 3.262490678598061e-05,
|
| 303 |
+
"loss": 1.2247,
|
| 304 |
+
"step": 1850
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 4.250559284116331,
|
| 308 |
+
"grad_norm": 43.72661590576172,
|
| 309 |
+
"learning_rate": 3.200347999005717e-05,
|
| 310 |
+
"loss": 1.2065,
|
| 311 |
+
"step": 1900
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 4.3624161073825505,
|
| 315 |
+
"grad_norm": 29.79233169555664,
|
| 316 |
+
"learning_rate": 3.1382053194133735e-05,
|
| 317 |
+
"loss": 1.2585,
|
| 318 |
+
"step": 1950
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 4.47427293064877,
|
| 322 |
+
"grad_norm": 30.871849060058594,
|
| 323 |
+
"learning_rate": 3.076062639821029e-05,
|
| 324 |
+
"loss": 1.2602,
|
| 325 |
+
"step": 2000
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 4.586129753914989,
|
| 329 |
+
"grad_norm": 30.835567474365234,
|
| 330 |
+
"learning_rate": 3.0139199602286848e-05,
|
| 331 |
+
"loss": 1.2781,
|
| 332 |
+
"step": 2050
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 4.697986577181208,
|
| 336 |
+
"grad_norm": 37.51513671875,
|
| 337 |
+
"learning_rate": 2.9517772806363413e-05,
|
| 338 |
+
"loss": 1.228,
|
| 339 |
+
"step": 2100
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 4.809843400447427,
|
| 343 |
+
"grad_norm": 35.483665466308594,
|
| 344 |
+
"learning_rate": 2.889634601043997e-05,
|
| 345 |
+
"loss": 1.2876,
|
| 346 |
+
"step": 2150
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 4.921700223713646,
|
| 350 |
+
"grad_norm": 21.087987899780273,
|
| 351 |
+
"learning_rate": 2.8274919214516533e-05,
|
| 352 |
+
"loss": 1.2457,
|
| 353 |
+
"step": 2200
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 5.0,
|
| 357 |
+
"eval_accuracy": 0.8660907127429806,
|
| 358 |
+
"eval_loss": 0.3854082524776459,
|
| 359 |
+
"eval_runtime": 19.9697,
|
| 360 |
+
"eval_samples_per_second": 115.926,
|
| 361 |
+
"eval_steps_per_second": 3.656,
|
| 362 |
+
"step": 2235
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 5.033557046979865,
|
| 366 |
+
"grad_norm": 32.84519577026367,
|
| 367 |
+
"learning_rate": 2.765349241859309e-05,
|
| 368 |
+
"loss": 1.1247,
|
| 369 |
+
"step": 2250
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 5.145413870246085,
|
| 373 |
+
"grad_norm": 42.308837890625,
|
| 374 |
+
"learning_rate": 2.703206562266965e-05,
|
| 375 |
+
"loss": 0.9676,
|
| 376 |
+
"step": 2300
|
| 377 |
+
},
|
| 378 |
+
{
|
| 379 |
+
"epoch": 5.257270693512305,
|
| 380 |
+
"grad_norm": 32.68018341064453,
|
| 381 |
+
"learning_rate": 2.6410638826746208e-05,
|
| 382 |
+
"loss": 0.9049,
|
| 383 |
+
"step": 2350
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"epoch": 5.369127516778524,
|
| 387 |
+
"grad_norm": 40.90736770629883,
|
| 388 |
+
"learning_rate": 2.5789212030822766e-05,
|
| 389 |
+
"loss": 0.8973,
|
| 390 |
+
"step": 2400
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 5.480984340044743,
|
| 394 |
+
"grad_norm": 42.41788864135742,
|
| 395 |
+
"learning_rate": 2.516778523489933e-05,
|
| 396 |
+
"loss": 0.972,
|
| 397 |
+
"step": 2450
|
| 398 |
+
},
|
| 399 |
+
{
|
| 400 |
+
"epoch": 5.592841163310962,
|
| 401 |
+
"grad_norm": 61.866180419921875,
|
| 402 |
+
"learning_rate": 2.454635843897589e-05,
|
| 403 |
+
"loss": 0.9687,
|
| 404 |
+
"step": 2500
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 5.704697986577181,
|
| 408 |
+
"grad_norm": 54.289512634277344,
|
| 409 |
+
"learning_rate": 2.392493164305245e-05,
|
| 410 |
+
"loss": 0.986,
|
| 411 |
+
"step": 2550
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 5.8165548098434,
|
| 415 |
+
"grad_norm": 32.10563659667969,
|
| 416 |
+
"learning_rate": 2.330350484712901e-05,
|
| 417 |
+
"loss": 0.981,
|
| 418 |
+
"step": 2600
|
| 419 |
+
},
|
| 420 |
+
{
|
| 421 |
+
"epoch": 5.9284116331096195,
|
| 422 |
+
"grad_norm": 34.02315139770508,
|
| 423 |
+
"learning_rate": 2.2682078051205568e-05,
|
| 424 |
+
"loss": 0.9679,
|
| 425 |
+
"step": 2650
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"epoch": 6.0,
|
| 429 |
+
"eval_accuracy": 0.8678185745140389,
|
| 430 |
+
"eval_loss": 0.3706440329551697,
|
| 431 |
+
"eval_runtime": 19.6479,
|
| 432 |
+
"eval_samples_per_second": 117.824,
|
| 433 |
+
"eval_steps_per_second": 3.715,
|
| 434 |
+
"step": 2682
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"epoch": 6.040268456375839,
|
| 438 |
+
"grad_norm": 36.86701965332031,
|
| 439 |
+
"learning_rate": 2.2060651255282127e-05,
|
| 440 |
+
"loss": 0.9318,
|
| 441 |
+
"step": 2700
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 6.152125279642058,
|
| 445 |
+
"grad_norm": 42.711204528808594,
|
| 446 |
+
"learning_rate": 2.145165299527716e-05,
|
| 447 |
+
"loss": 0.703,
|
| 448 |
+
"step": 2750
|
| 449 |
+
},
|
| 450 |
+
{
|
| 451 |
+
"epoch": 6.263982102908278,
|
| 452 |
+
"grad_norm": 38.12577819824219,
|
| 453 |
+
"learning_rate": 2.0830226199353717e-05,
|
| 454 |
+
"loss": 0.764,
|
| 455 |
+
"step": 2800
|
| 456 |
+
},
|
| 457 |
+
{
|
| 458 |
+
"epoch": 6.375838926174497,
|
| 459 |
+
"grad_norm": 32.06464767456055,
|
| 460 |
+
"learning_rate": 2.0208799403430276e-05,
|
| 461 |
+
"loss": 0.739,
|
| 462 |
+
"step": 2850
|
| 463 |
+
},
|
| 464 |
+
{
|
| 465 |
+
"epoch": 6.487695749440716,
|
| 466 |
+
"grad_norm": 36.63414001464844,
|
| 467 |
+
"learning_rate": 1.9587372607506838e-05,
|
| 468 |
+
"loss": 0.7173,
|
| 469 |
+
"step": 2900
|
| 470 |
+
},
|
| 471 |
+
{
|
| 472 |
+
"epoch": 6.599552572706935,
|
| 473 |
+
"grad_norm": 61.28206253051758,
|
| 474 |
+
"learning_rate": 1.8965945811583396e-05,
|
| 475 |
+
"loss": 0.7164,
|
| 476 |
+
"step": 2950
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 6.7114093959731544,
|
| 480 |
+
"grad_norm": 27.83030891418457,
|
| 481 |
+
"learning_rate": 1.8344519015659954e-05,
|
| 482 |
+
"loss": 0.7629,
|
| 483 |
+
"step": 3000
|
| 484 |
+
},
|
| 485 |
+
{
|
| 486 |
+
"epoch": 6.823266219239374,
|
| 487 |
+
"grad_norm": 46.308189392089844,
|
| 488 |
+
"learning_rate": 1.7723092219736516e-05,
|
| 489 |
+
"loss": 0.7298,
|
| 490 |
+
"step": 3050
|
| 491 |
+
},
|
| 492 |
+
{
|
| 493 |
+
"epoch": 6.935123042505593,
|
| 494 |
+
"grad_norm": 63.58484649658203,
|
| 495 |
+
"learning_rate": 1.7101665423813078e-05,
|
| 496 |
+
"loss": 0.6876,
|
| 497 |
+
"step": 3100
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"epoch": 7.0,
|
| 501 |
+
"eval_accuracy": 0.8825053995680345,
|
| 502 |
+
"eval_loss": 0.3750421702861786,
|
| 503 |
+
"eval_runtime": 19.8931,
|
| 504 |
+
"eval_samples_per_second": 116.372,
|
| 505 |
+
"eval_steps_per_second": 3.67,
|
| 506 |
+
"step": 3129
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 7.046979865771812,
|
| 510 |
+
"grad_norm": 44.923614501953125,
|
| 511 |
+
"learning_rate": 1.6480238627889636e-05,
|
| 512 |
+
"loss": 0.6694,
|
| 513 |
+
"step": 3150
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 7.158836689038031,
|
| 517 |
+
"grad_norm": 55.236083984375,
|
| 518 |
+
"learning_rate": 1.5858811831966194e-05,
|
| 519 |
+
"loss": 0.5705,
|
| 520 |
+
"step": 3200
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 7.27069351230425,
|
| 524 |
+
"grad_norm": 57.69952392578125,
|
| 525 |
+
"learning_rate": 1.5237385036042756e-05,
|
| 526 |
+
"loss": 0.5369,
|
| 527 |
+
"step": 3250
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 7.382550335570469,
|
| 531 |
+
"grad_norm": 48.969078063964844,
|
| 532 |
+
"learning_rate": 1.4615958240119314e-05,
|
| 533 |
+
"loss": 0.5266,
|
| 534 |
+
"step": 3300
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 7.494407158836689,
|
| 538 |
+
"grad_norm": 30.38613510131836,
|
| 539 |
+
"learning_rate": 1.3994531444195874e-05,
|
| 540 |
+
"loss": 0.6426,
|
| 541 |
+
"step": 3350
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 7.6062639821029085,
|
| 545 |
+
"grad_norm": 32.06161880493164,
|
| 546 |
+
"learning_rate": 1.3385533184190904e-05,
|
| 547 |
+
"loss": 0.5366,
|
| 548 |
+
"step": 3400
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 7.718120805369128,
|
| 552 |
+
"grad_norm": 41.513572692871094,
|
| 553 |
+
"learning_rate": 1.2764106388267464e-05,
|
| 554 |
+
"loss": 0.536,
|
| 555 |
+
"step": 3450
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 7.829977628635347,
|
| 559 |
+
"grad_norm": 64.65313720703125,
|
| 560 |
+
"learning_rate": 1.2142679592344022e-05,
|
| 561 |
+
"loss": 0.5542,
|
| 562 |
+
"step": 3500
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 7.941834451901566,
|
| 566 |
+
"grad_norm": 59.38785934448242,
|
| 567 |
+
"learning_rate": 1.1521252796420582e-05,
|
| 568 |
+
"loss": 0.5386,
|
| 569 |
+
"step": 3550
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 8.0,
|
| 573 |
+
"eval_accuracy": 0.8825053995680345,
|
| 574 |
+
"eval_loss": 0.42663174867630005,
|
| 575 |
+
"eval_runtime": 19.6465,
|
| 576 |
+
"eval_samples_per_second": 117.833,
|
| 577 |
+
"eval_steps_per_second": 3.716,
|
| 578 |
+
"step": 3576
|
| 579 |
+
}
|
| 580 |
+
],
|
| 581 |
+
"logging_steps": 50,
|
| 582 |
+
"max_steps": 4470,
|
| 583 |
+
"num_input_tokens_seen": 0,
|
| 584 |
+
"num_train_epochs": 10,
|
| 585 |
+
"save_steps": 500,
|
| 586 |
+
"stateful_callbacks": {
|
| 587 |
+
"EarlyStoppingCallback": {
|
| 588 |
+
"args": {
|
| 589 |
+
"early_stopping_patience": 3,
|
| 590 |
+
"early_stopping_threshold": 0.0
|
| 591 |
+
},
|
| 592 |
+
"attributes": {
|
| 593 |
+
"early_stopping_patience_counter": 1
|
| 594 |
+
}
|
| 595 |
+
},
|
| 596 |
+
"TrainerControl": {
|
| 597 |
+
"args": {
|
| 598 |
+
"should_epoch_stop": false,
|
| 599 |
+
"should_evaluate": false,
|
| 600 |
+
"should_log": false,
|
| 601 |
+
"should_save": true,
|
| 602 |
+
"should_training_stop": false
|
| 603 |
+
},
|
| 604 |
+
"attributes": {}
|
| 605 |
+
}
|
| 606 |
+
},
|
| 607 |
+
"total_flos": 8.013346575910502e+16,
|
| 608 |
+
"train_batch_size": 16,
|
| 609 |
+
"trial_name": null,
|
| 610 |
+
"trial_params": null
|
| 611 |
+
}
|
checkpoint-3576/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b5ca2cef10b94920dcbcc3b9cd54c0948da4a0947897ea88575e16e1dc113b07
|
| 3 |
+
size 5240
|
checkpoint-4023/config.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "FacebookAI/xlm-roberta-base",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"XLMRobertaForSequenceClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.1,
|
| 7 |
+
"bos_token_id": 0,
|
| 8 |
+
"classifier_dropout": null,
|
| 9 |
+
"eos_token_id": 2,
|
| 10 |
+
"hidden_act": "gelu",
|
| 11 |
+
"hidden_dropout_prob": 0.1,
|
| 12 |
+
"hidden_size": 768,
|
| 13 |
+
"id2label": {
|
| 14 |
+
"0": "LABEL_0",
|
| 15 |
+
"1": "LABEL_1",
|
| 16 |
+
"2": "LABEL_2"
|
| 17 |
+
},
|
| 18 |
+
"initializer_range": 0.02,
|
| 19 |
+
"intermediate_size": 3072,
|
| 20 |
+
"label2id": {
|
| 21 |
+
"LABEL_0": 0,
|
| 22 |
+
"LABEL_1": 1,
|
| 23 |
+
"LABEL_2": 2
|
| 24 |
+
},
|
| 25 |
+
"layer_norm_eps": 1e-05,
|
| 26 |
+
"max_position_embeddings": 514,
|
| 27 |
+
"model_type": "xlm-roberta",
|
| 28 |
+
"num_attention_heads": 12,
|
| 29 |
+
"num_hidden_layers": 16,
|
| 30 |
+
"output_past": true,
|
| 31 |
+
"pad_token_id": 1,
|
| 32 |
+
"position_embedding_type": "absolute",
|
| 33 |
+
"problem_type": "single_label_classification",
|
| 34 |
+
"torch_dtype": "float32",
|
| 35 |
+
"transformers_version": "4.47.1",
|
| 36 |
+
"type_vocab_size": 1,
|
| 37 |
+
"use_cache": true,
|
| 38 |
+
"vocab_size": 250002
|
| 39 |
+
}
|
checkpoint-4023/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fd4f95342878d7d2f24f7999e41c1ad7dcdb6d73e2964546df43bc570c243e01
|
| 3 |
+
size 1225621956
|
checkpoint-4023/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:684b50e3317b874bf36f03ddb40a33e52208cabf89cb230aef3925a3b50825e9
|
| 3 |
+
size 2451401082
|
checkpoint-4023/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6cab76c35b24bdd32a516ba6363ea59b907aaca829410a9640913c80c81ad587
|
| 3 |
+
size 14244
|
checkpoint-4023/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7bec07c87c6577fe5c747e9e8d01a6a77367eda016af00dce3acc073b0c1c112
|
| 3 |
+
size 1064
|
checkpoint-4023/trainer_state.json
ADDED
|
@@ -0,0 +1,683 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.8859611231101512,
|
| 3 |
+
"best_model_checkpoint": "./sentiment_model/checkpoint-4023",
|
| 4 |
+
"epoch": 9.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 4023,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.11185682326621924,
|
| 13 |
+
"grad_norm": 18.68804168701172,
|
| 14 |
+
"learning_rate": 5.3691275167785235e-06,
|
| 15 |
+
"loss": 4.4686,
|
| 16 |
+
"step": 50
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.22371364653243847,
|
| 20 |
+
"grad_norm": 33.30501937866211,
|
| 21 |
+
"learning_rate": 1.0738255033557047e-05,
|
| 22 |
+
"loss": 4.0139,
|
| 23 |
+
"step": 100
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.33557046979865773,
|
| 27 |
+
"grad_norm": 48.02063751220703,
|
| 28 |
+
"learning_rate": 1.633109619686801e-05,
|
| 29 |
+
"loss": 2.9933,
|
| 30 |
+
"step": 150
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.44742729306487694,
|
| 34 |
+
"grad_norm": 35.39257049560547,
|
| 35 |
+
"learning_rate": 2.192393736017897e-05,
|
| 36 |
+
"loss": 2.5147,
|
| 37 |
+
"step": 200
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.5592841163310962,
|
| 41 |
+
"grad_norm": 39.318363189697266,
|
| 42 |
+
"learning_rate": 2.7404921700223713e-05,
|
| 43 |
+
"loss": 2.4221,
|
| 44 |
+
"step": 250
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.6711409395973155,
|
| 48 |
+
"grad_norm": 50.962833404541016,
|
| 49 |
+
"learning_rate": 3.2997762863534674e-05,
|
| 50 |
+
"loss": 2.3124,
|
| 51 |
+
"step": 300
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.7829977628635347,
|
| 55 |
+
"grad_norm": 37.32981491088867,
|
| 56 |
+
"learning_rate": 3.859060402684564e-05,
|
| 57 |
+
"loss": 2.4092,
|
| 58 |
+
"step": 350
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.8948545861297539,
|
| 62 |
+
"grad_norm": 32.42803955078125,
|
| 63 |
+
"learning_rate": 4.4183445190156604e-05,
|
| 64 |
+
"loss": 2.4183,
|
| 65 |
+
"step": 400
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 1.0,
|
| 69 |
+
"eval_accuracy": 0.7844492440604751,
|
| 70 |
+
"eval_loss": 0.5040740370750427,
|
| 71 |
+
"eval_runtime": 19.6714,
|
| 72 |
+
"eval_samples_per_second": 117.683,
|
| 73 |
+
"eval_steps_per_second": 3.711,
|
| 74 |
+
"step": 447
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 1.0067114093959733,
|
| 78 |
+
"grad_norm": 20.918420791625977,
|
| 79 |
+
"learning_rate": 4.977628635346757e-05,
|
| 80 |
+
"loss": 2.3532,
|
| 81 |
+
"step": 450
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 1.1185682326621924,
|
| 85 |
+
"grad_norm": 28.06084442138672,
|
| 86 |
+
"learning_rate": 4.94034302759135e-05,
|
| 87 |
+
"loss": 2.1244,
|
| 88 |
+
"step": 500
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"epoch": 1.2304250559284116,
|
| 92 |
+
"grad_norm": 40.768096923828125,
|
| 93 |
+
"learning_rate": 4.8782003479990054e-05,
|
| 94 |
+
"loss": 2.3004,
|
| 95 |
+
"step": 550
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"epoch": 1.342281879194631,
|
| 99 |
+
"grad_norm": 19.545913696289062,
|
| 100 |
+
"learning_rate": 4.816057668406662e-05,
|
| 101 |
+
"loss": 2.2399,
|
| 102 |
+
"step": 600
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"epoch": 1.45413870246085,
|
| 106 |
+
"grad_norm": 69.29216766357422,
|
| 107 |
+
"learning_rate": 4.753914988814318e-05,
|
| 108 |
+
"loss": 2.1458,
|
| 109 |
+
"step": 650
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"epoch": 1.5659955257270695,
|
| 113 |
+
"grad_norm": 29.00174903869629,
|
| 114 |
+
"learning_rate": 4.691772309221974e-05,
|
| 115 |
+
"loss": 2.0778,
|
| 116 |
+
"step": 700
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 1.6778523489932886,
|
| 120 |
+
"grad_norm": 28.77162742614746,
|
| 121 |
+
"learning_rate": 4.62962962962963e-05,
|
| 122 |
+
"loss": 2.1317,
|
| 123 |
+
"step": 750
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 1.7897091722595078,
|
| 127 |
+
"grad_norm": 36.04485321044922,
|
| 128 |
+
"learning_rate": 4.5674869500372856e-05,
|
| 129 |
+
"loss": 2.1345,
|
| 130 |
+
"step": 800
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"epoch": 1.901565995525727,
|
| 134 |
+
"grad_norm": 51.31829071044922,
|
| 135 |
+
"learning_rate": 4.505344270444942e-05,
|
| 136 |
+
"loss": 2.2048,
|
| 137 |
+
"step": 850
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 2.0,
|
| 141 |
+
"eval_accuracy": 0.8138228941684665,
|
| 142 |
+
"eval_loss": 0.43246370553970337,
|
| 143 |
+
"eval_runtime": 19.9941,
|
| 144 |
+
"eval_samples_per_second": 115.784,
|
| 145 |
+
"eval_steps_per_second": 3.651,
|
| 146 |
+
"step": 894
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 2.0134228187919465,
|
| 150 |
+
"grad_norm": 19.70203971862793,
|
| 151 |
+
"learning_rate": 4.443201590852597e-05,
|
| 152 |
+
"loss": 2.0482,
|
| 153 |
+
"step": 900
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 2.1252796420581657,
|
| 157 |
+
"grad_norm": 44.575721740722656,
|
| 158 |
+
"learning_rate": 4.381058911260254e-05,
|
| 159 |
+
"loss": 1.8304,
|
| 160 |
+
"step": 950
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"epoch": 2.237136465324385,
|
| 164 |
+
"grad_norm": 48.66209411621094,
|
| 165 |
+
"learning_rate": 4.31891623166791e-05,
|
| 166 |
+
"loss": 1.7784,
|
| 167 |
+
"step": 1000
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"epoch": 2.348993288590604,
|
| 171 |
+
"grad_norm": 19.984678268432617,
|
| 172 |
+
"learning_rate": 4.256773552075566e-05,
|
| 173 |
+
"loss": 1.8457,
|
| 174 |
+
"step": 1050
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 2.460850111856823,
|
| 178 |
+
"grad_norm": 64.9332275390625,
|
| 179 |
+
"learning_rate": 4.194630872483222e-05,
|
| 180 |
+
"loss": 1.7747,
|
| 181 |
+
"step": 1100
|
| 182 |
+
},
|
| 183 |
+
{
|
| 184 |
+
"epoch": 2.5727069351230423,
|
| 185 |
+
"grad_norm": 20.591524124145508,
|
| 186 |
+
"learning_rate": 4.1324881928908774e-05,
|
| 187 |
+
"loss": 1.9082,
|
| 188 |
+
"step": 1150
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 2.684563758389262,
|
| 192 |
+
"grad_norm": 24.512027740478516,
|
| 193 |
+
"learning_rate": 4.0703455132985336e-05,
|
| 194 |
+
"loss": 1.8399,
|
| 195 |
+
"step": 1200
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 2.796420581655481,
|
| 199 |
+
"grad_norm": 18.300504684448242,
|
| 200 |
+
"learning_rate": 4.00820283370619e-05,
|
| 201 |
+
"loss": 1.7937,
|
| 202 |
+
"step": 1250
|
| 203 |
+
},
|
| 204 |
+
{
|
| 205 |
+
"epoch": 2.9082774049217,
|
| 206 |
+
"grad_norm": 40.87727737426758,
|
| 207 |
+
"learning_rate": 3.946060154113845e-05,
|
| 208 |
+
"loss": 1.8174,
|
| 209 |
+
"step": 1300
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 3.0,
|
| 213 |
+
"eval_accuracy": 0.8535637149028078,
|
| 214 |
+
"eval_loss": 0.37263187766075134,
|
| 215 |
+
"eval_runtime": 19.6701,
|
| 216 |
+
"eval_samples_per_second": 117.691,
|
| 217 |
+
"eval_steps_per_second": 3.711,
|
| 218 |
+
"step": 1341
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 3.0201342281879193,
|
| 222 |
+
"grad_norm": 29.54434585571289,
|
| 223 |
+
"learning_rate": 3.883917474521502e-05,
|
| 224 |
+
"loss": 1.8262,
|
| 225 |
+
"step": 1350
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"epoch": 3.131991051454139,
|
| 229 |
+
"grad_norm": 19.222951889038086,
|
| 230 |
+
"learning_rate": 3.8217747949291576e-05,
|
| 231 |
+
"loss": 1.5486,
|
| 232 |
+
"step": 1400
|
| 233 |
+
},
|
| 234 |
+
{
|
| 235 |
+
"epoch": 3.243847874720358,
|
| 236 |
+
"grad_norm": 36.32904052734375,
|
| 237 |
+
"learning_rate": 3.759632115336814e-05,
|
| 238 |
+
"loss": 1.5273,
|
| 239 |
+
"step": 1450
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 3.3557046979865772,
|
| 243 |
+
"grad_norm": 27.05373764038086,
|
| 244 |
+
"learning_rate": 3.697489435744469e-05,
|
| 245 |
+
"loss": 1.5796,
|
| 246 |
+
"step": 1500
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"epoch": 3.4675615212527964,
|
| 250 |
+
"grad_norm": 50.08060836791992,
|
| 251 |
+
"learning_rate": 3.6353467561521254e-05,
|
| 252 |
+
"loss": 1.5104,
|
| 253 |
+
"step": 1550
|
| 254 |
+
},
|
| 255 |
+
{
|
| 256 |
+
"epoch": 3.5794183445190155,
|
| 257 |
+
"grad_norm": 29.98794174194336,
|
| 258 |
+
"learning_rate": 3.5732040765597816e-05,
|
| 259 |
+
"loss": 1.6298,
|
| 260 |
+
"step": 1600
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 3.6912751677852347,
|
| 264 |
+
"grad_norm": 33.08045196533203,
|
| 265 |
+
"learning_rate": 3.511061396967437e-05,
|
| 266 |
+
"loss": 1.4769,
|
| 267 |
+
"step": 1650
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 3.8031319910514543,
|
| 271 |
+
"grad_norm": 30.475862503051758,
|
| 272 |
+
"learning_rate": 3.448918717375094e-05,
|
| 273 |
+
"loss": 1.547,
|
| 274 |
+
"step": 1700
|
| 275 |
+
},
|
| 276 |
+
{
|
| 277 |
+
"epoch": 3.9149888143176734,
|
| 278 |
+
"grad_norm": 29.52466583251953,
|
| 279 |
+
"learning_rate": 3.3867760377827495e-05,
|
| 280 |
+
"loss": 1.4918,
|
| 281 |
+
"step": 1750
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 4.0,
|
| 285 |
+
"eval_accuracy": 0.8501079913606912,
|
| 286 |
+
"eval_loss": 0.38409608602523804,
|
| 287 |
+
"eval_runtime": 19.6128,
|
| 288 |
+
"eval_samples_per_second": 118.035,
|
| 289 |
+
"eval_steps_per_second": 3.722,
|
| 290 |
+
"step": 1788
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 4.026845637583893,
|
| 294 |
+
"grad_norm": 27.849456787109375,
|
| 295 |
+
"learning_rate": 3.3246333581904056e-05,
|
| 296 |
+
"loss": 1.4653,
|
| 297 |
+
"step": 1800
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 4.138702460850112,
|
| 301 |
+
"grad_norm": 39.9719123840332,
|
| 302 |
+
"learning_rate": 3.262490678598061e-05,
|
| 303 |
+
"loss": 1.2247,
|
| 304 |
+
"step": 1850
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 4.250559284116331,
|
| 308 |
+
"grad_norm": 43.72661590576172,
|
| 309 |
+
"learning_rate": 3.200347999005717e-05,
|
| 310 |
+
"loss": 1.2065,
|
| 311 |
+
"step": 1900
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 4.3624161073825505,
|
| 315 |
+
"grad_norm": 29.79233169555664,
|
| 316 |
+
"learning_rate": 3.1382053194133735e-05,
|
| 317 |
+
"loss": 1.2585,
|
| 318 |
+
"step": 1950
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 4.47427293064877,
|
| 322 |
+
"grad_norm": 30.871849060058594,
|
| 323 |
+
"learning_rate": 3.076062639821029e-05,
|
| 324 |
+
"loss": 1.2602,
|
| 325 |
+
"step": 2000
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 4.586129753914989,
|
| 329 |
+
"grad_norm": 30.835567474365234,
|
| 330 |
+
"learning_rate": 3.0139199602286848e-05,
|
| 331 |
+
"loss": 1.2781,
|
| 332 |
+
"step": 2050
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 4.697986577181208,
|
| 336 |
+
"grad_norm": 37.51513671875,
|
| 337 |
+
"learning_rate": 2.9517772806363413e-05,
|
| 338 |
+
"loss": 1.228,
|
| 339 |
+
"step": 2100
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 4.809843400447427,
|
| 343 |
+
"grad_norm": 35.483665466308594,
|
| 344 |
+
"learning_rate": 2.889634601043997e-05,
|
| 345 |
+
"loss": 1.2876,
|
| 346 |
+
"step": 2150
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 4.921700223713646,
|
| 350 |
+
"grad_norm": 21.087987899780273,
|
| 351 |
+
"learning_rate": 2.8274919214516533e-05,
|
| 352 |
+
"loss": 1.2457,
|
| 353 |
+
"step": 2200
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 5.0,
|
| 357 |
+
"eval_accuracy": 0.8660907127429806,
|
| 358 |
+
"eval_loss": 0.3854082524776459,
|
| 359 |
+
"eval_runtime": 19.9697,
|
| 360 |
+
"eval_samples_per_second": 115.926,
|
| 361 |
+
"eval_steps_per_second": 3.656,
|
| 362 |
+
"step": 2235
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 5.033557046979865,
|
| 366 |
+
"grad_norm": 32.84519577026367,
|
| 367 |
+
"learning_rate": 2.765349241859309e-05,
|
| 368 |
+
"loss": 1.1247,
|
| 369 |
+
"step": 2250
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 5.145413870246085,
|
| 373 |
+
"grad_norm": 42.308837890625,
|
| 374 |
+
"learning_rate": 2.703206562266965e-05,
|
| 375 |
+
"loss": 0.9676,
|
| 376 |
+
"step": 2300
|
| 377 |
+
},
|
| 378 |
+
{
|
| 379 |
+
"epoch": 5.257270693512305,
|
| 380 |
+
"grad_norm": 32.68018341064453,
|
| 381 |
+
"learning_rate": 2.6410638826746208e-05,
|
| 382 |
+
"loss": 0.9049,
|
| 383 |
+
"step": 2350
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"epoch": 5.369127516778524,
|
| 387 |
+
"grad_norm": 40.90736770629883,
|
| 388 |
+
"learning_rate": 2.5789212030822766e-05,
|
| 389 |
+
"loss": 0.8973,
|
| 390 |
+
"step": 2400
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 5.480984340044743,
|
| 394 |
+
"grad_norm": 42.41788864135742,
|
| 395 |
+
"learning_rate": 2.516778523489933e-05,
|
| 396 |
+
"loss": 0.972,
|
| 397 |
+
"step": 2450
|
| 398 |
+
},
|
| 399 |
+
{
|
| 400 |
+
"epoch": 5.592841163310962,
|
| 401 |
+
"grad_norm": 61.866180419921875,
|
| 402 |
+
"learning_rate": 2.454635843897589e-05,
|
| 403 |
+
"loss": 0.9687,
|
| 404 |
+
"step": 2500
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 5.704697986577181,
|
| 408 |
+
"grad_norm": 54.289512634277344,
|
| 409 |
+
"learning_rate": 2.392493164305245e-05,
|
| 410 |
+
"loss": 0.986,
|
| 411 |
+
"step": 2550
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 5.8165548098434,
|
| 415 |
+
"grad_norm": 32.10563659667969,
|
| 416 |
+
"learning_rate": 2.330350484712901e-05,
|
| 417 |
+
"loss": 0.981,
|
| 418 |
+
"step": 2600
|
| 419 |
+
},
|
| 420 |
+
{
|
| 421 |
+
"epoch": 5.9284116331096195,
|
| 422 |
+
"grad_norm": 34.02315139770508,
|
| 423 |
+
"learning_rate": 2.2682078051205568e-05,
|
| 424 |
+
"loss": 0.9679,
|
| 425 |
+
"step": 2650
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"epoch": 6.0,
|
| 429 |
+
"eval_accuracy": 0.8678185745140389,
|
| 430 |
+
"eval_loss": 0.3706440329551697,
|
| 431 |
+
"eval_runtime": 19.6479,
|
| 432 |
+
"eval_samples_per_second": 117.824,
|
| 433 |
+
"eval_steps_per_second": 3.715,
|
| 434 |
+
"step": 2682
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"epoch": 6.040268456375839,
|
| 438 |
+
"grad_norm": 36.86701965332031,
|
| 439 |
+
"learning_rate": 2.2060651255282127e-05,
|
| 440 |
+
"loss": 0.9318,
|
| 441 |
+
"step": 2700
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 6.152125279642058,
|
| 445 |
+
"grad_norm": 42.711204528808594,
|
| 446 |
+
"learning_rate": 2.145165299527716e-05,
|
| 447 |
+
"loss": 0.703,
|
| 448 |
+
"step": 2750
|
| 449 |
+
},
|
| 450 |
+
{
|
| 451 |
+
"epoch": 6.263982102908278,
|
| 452 |
+
"grad_norm": 38.12577819824219,
|
| 453 |
+
"learning_rate": 2.0830226199353717e-05,
|
| 454 |
+
"loss": 0.764,
|
| 455 |
+
"step": 2800
|
| 456 |
+
},
|
| 457 |
+
{
|
| 458 |
+
"epoch": 6.375838926174497,
|
| 459 |
+
"grad_norm": 32.06464767456055,
|
| 460 |
+
"learning_rate": 2.0208799403430276e-05,
|
| 461 |
+
"loss": 0.739,
|
| 462 |
+
"step": 2850
|
| 463 |
+
},
|
| 464 |
+
{
|
| 465 |
+
"epoch": 6.487695749440716,
|
| 466 |
+
"grad_norm": 36.63414001464844,
|
| 467 |
+
"learning_rate": 1.9587372607506838e-05,
|
| 468 |
+
"loss": 0.7173,
|
| 469 |
+
"step": 2900
|
| 470 |
+
},
|
| 471 |
+
{
|
| 472 |
+
"epoch": 6.599552572706935,
|
| 473 |
+
"grad_norm": 61.28206253051758,
|
| 474 |
+
"learning_rate": 1.8965945811583396e-05,
|
| 475 |
+
"loss": 0.7164,
|
| 476 |
+
"step": 2950
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 6.7114093959731544,
|
| 480 |
+
"grad_norm": 27.83030891418457,
|
| 481 |
+
"learning_rate": 1.8344519015659954e-05,
|
| 482 |
+
"loss": 0.7629,
|
| 483 |
+
"step": 3000
|
| 484 |
+
},
|
| 485 |
+
{
|
| 486 |
+
"epoch": 6.823266219239374,
|
| 487 |
+
"grad_norm": 46.308189392089844,
|
| 488 |
+
"learning_rate": 1.7723092219736516e-05,
|
| 489 |
+
"loss": 0.7298,
|
| 490 |
+
"step": 3050
|
| 491 |
+
},
|
| 492 |
+
{
|
| 493 |
+
"epoch": 6.935123042505593,
|
| 494 |
+
"grad_norm": 63.58484649658203,
|
| 495 |
+
"learning_rate": 1.7101665423813078e-05,
|
| 496 |
+
"loss": 0.6876,
|
| 497 |
+
"step": 3100
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"epoch": 7.0,
|
| 501 |
+
"eval_accuracy": 0.8825053995680345,
|
| 502 |
+
"eval_loss": 0.3750421702861786,
|
| 503 |
+
"eval_runtime": 19.8931,
|
| 504 |
+
"eval_samples_per_second": 116.372,
|
| 505 |
+
"eval_steps_per_second": 3.67,
|
| 506 |
+
"step": 3129
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 7.046979865771812,
|
| 510 |
+
"grad_norm": 44.923614501953125,
|
| 511 |
+
"learning_rate": 1.6480238627889636e-05,
|
| 512 |
+
"loss": 0.6694,
|
| 513 |
+
"step": 3150
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 7.158836689038031,
|
| 517 |
+
"grad_norm": 55.236083984375,
|
| 518 |
+
"learning_rate": 1.5858811831966194e-05,
|
| 519 |
+
"loss": 0.5705,
|
| 520 |
+
"step": 3200
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 7.27069351230425,
|
| 524 |
+
"grad_norm": 57.69952392578125,
|
| 525 |
+
"learning_rate": 1.5237385036042756e-05,
|
| 526 |
+
"loss": 0.5369,
|
| 527 |
+
"step": 3250
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 7.382550335570469,
|
| 531 |
+
"grad_norm": 48.969078063964844,
|
| 532 |
+
"learning_rate": 1.4615958240119314e-05,
|
| 533 |
+
"loss": 0.5266,
|
| 534 |
+
"step": 3300
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 7.494407158836689,
|
| 538 |
+
"grad_norm": 30.38613510131836,
|
| 539 |
+
"learning_rate": 1.3994531444195874e-05,
|
| 540 |
+
"loss": 0.6426,
|
| 541 |
+
"step": 3350
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 7.6062639821029085,
|
| 545 |
+
"grad_norm": 32.06161880493164,
|
| 546 |
+
"learning_rate": 1.3385533184190904e-05,
|
| 547 |
+
"loss": 0.5366,
|
| 548 |
+
"step": 3400
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 7.718120805369128,
|
| 552 |
+
"grad_norm": 41.513572692871094,
|
| 553 |
+
"learning_rate": 1.2764106388267464e-05,
|
| 554 |
+
"loss": 0.536,
|
| 555 |
+
"step": 3450
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 7.829977628635347,
|
| 559 |
+
"grad_norm": 64.65313720703125,
|
| 560 |
+
"learning_rate": 1.2142679592344022e-05,
|
| 561 |
+
"loss": 0.5542,
|
| 562 |
+
"step": 3500
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 7.941834451901566,
|
| 566 |
+
"grad_norm": 59.38785934448242,
|
| 567 |
+
"learning_rate": 1.1521252796420582e-05,
|
| 568 |
+
"loss": 0.5386,
|
| 569 |
+
"step": 3550
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 8.0,
|
| 573 |
+
"eval_accuracy": 0.8825053995680345,
|
| 574 |
+
"eval_loss": 0.42663174867630005,
|
| 575 |
+
"eval_runtime": 19.6465,
|
| 576 |
+
"eval_samples_per_second": 117.833,
|
| 577 |
+
"eval_steps_per_second": 3.716,
|
| 578 |
+
"step": 3576
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 8.053691275167786,
|
| 582 |
+
"grad_norm": 46.52591323852539,
|
| 583 |
+
"learning_rate": 1.0899826000497142e-05,
|
| 584 |
+
"loss": 0.4777,
|
| 585 |
+
"step": 3600
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 8.165548098434005,
|
| 589 |
+
"grad_norm": 64.87262725830078,
|
| 590 |
+
"learning_rate": 1.0278399204573702e-05,
|
| 591 |
+
"loss": 0.447,
|
| 592 |
+
"step": 3650
|
| 593 |
+
},
|
| 594 |
+
{
|
| 595 |
+
"epoch": 8.277404921700224,
|
| 596 |
+
"grad_norm": 32.57583999633789,
|
| 597 |
+
"learning_rate": 9.65697240865026e-06,
|
| 598 |
+
"loss": 0.4654,
|
| 599 |
+
"step": 3700
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 8.389261744966444,
|
| 603 |
+
"grad_norm": 48.06557846069336,
|
| 604 |
+
"learning_rate": 9.035545612726822e-06,
|
| 605 |
+
"loss": 0.4814,
|
| 606 |
+
"step": 3750
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 8.501118568232663,
|
| 610 |
+
"grad_norm": 30.20526695251465,
|
| 611 |
+
"learning_rate": 8.41411881680338e-06,
|
| 612 |
+
"loss": 0.382,
|
| 613 |
+
"step": 3800
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"epoch": 8.612975391498882,
|
| 617 |
+
"grad_norm": 24.92857551574707,
|
| 618 |
+
"learning_rate": 7.79269202087994e-06,
|
| 619 |
+
"loss": 0.357,
|
| 620 |
+
"step": 3850
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 8.724832214765101,
|
| 624 |
+
"grad_norm": 50.68805694580078,
|
| 625 |
+
"learning_rate": 7.1836937608749695e-06,
|
| 626 |
+
"loss": 0.4397,
|
| 627 |
+
"step": 3900
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 8.83668903803132,
|
| 631 |
+
"grad_norm": 6.66060733795166,
|
| 632 |
+
"learning_rate": 6.562266964951529e-06,
|
| 633 |
+
"loss": 0.4038,
|
| 634 |
+
"step": 3950
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"epoch": 8.94854586129754,
|
| 638 |
+
"grad_norm": 11.322134017944336,
|
| 639 |
+
"learning_rate": 5.940840169028089e-06,
|
| 640 |
+
"loss": 0.4638,
|
| 641 |
+
"step": 4000
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 9.0,
|
| 645 |
+
"eval_accuracy": 0.8859611231101512,
|
| 646 |
+
"eval_loss": 0.45952075719833374,
|
| 647 |
+
"eval_runtime": 19.6573,
|
| 648 |
+
"eval_samples_per_second": 117.768,
|
| 649 |
+
"eval_steps_per_second": 3.714,
|
| 650 |
+
"step": 4023
|
| 651 |
+
}
|
| 652 |
+
],
|
| 653 |
+
"logging_steps": 50,
|
| 654 |
+
"max_steps": 4470,
|
| 655 |
+
"num_input_tokens_seen": 0,
|
| 656 |
+
"num_train_epochs": 10,
|
| 657 |
+
"save_steps": 500,
|
| 658 |
+
"stateful_callbacks": {
|
| 659 |
+
"EarlyStoppingCallback": {
|
| 660 |
+
"args": {
|
| 661 |
+
"early_stopping_patience": 3,
|
| 662 |
+
"early_stopping_threshold": 0.0
|
| 663 |
+
},
|
| 664 |
+
"attributes": {
|
| 665 |
+
"early_stopping_patience_counter": 0
|
| 666 |
+
}
|
| 667 |
+
},
|
| 668 |
+
"TrainerControl": {
|
| 669 |
+
"args": {
|
| 670 |
+
"should_epoch_stop": false,
|
| 671 |
+
"should_evaluate": false,
|
| 672 |
+
"should_log": false,
|
| 673 |
+
"should_save": true,
|
| 674 |
+
"should_training_stop": false
|
| 675 |
+
},
|
| 676 |
+
"attributes": {}
|
| 677 |
+
}
|
| 678 |
+
},
|
| 679 |
+
"total_flos": 9.015014897899315e+16,
|
| 680 |
+
"train_batch_size": 16,
|
| 681 |
+
"trial_name": null,
|
| 682 |
+
"trial_params": null
|
| 683 |
+
}
|
checkpoint-4023/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b5ca2cef10b94920dcbcc3b9cd54c0948da4a0947897ea88575e16e1dc113b07
|
| 3 |
+
size 5240
|
checkpoint-4470/config.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "FacebookAI/xlm-roberta-base",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"XLMRobertaForSequenceClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.1,
|
| 7 |
+
"bos_token_id": 0,
|
| 8 |
+
"classifier_dropout": null,
|
| 9 |
+
"eos_token_id": 2,
|
| 10 |
+
"hidden_act": "gelu",
|
| 11 |
+
"hidden_dropout_prob": 0.1,
|
| 12 |
+
"hidden_size": 768,
|
| 13 |
+
"id2label": {
|
| 14 |
+
"0": "LABEL_0",
|
| 15 |
+
"1": "LABEL_1",
|
| 16 |
+
"2": "LABEL_2"
|
| 17 |
+
},
|
| 18 |
+
"initializer_range": 0.02,
|
| 19 |
+
"intermediate_size": 3072,
|
| 20 |
+
"label2id": {
|
| 21 |
+
"LABEL_0": 0,
|
| 22 |
+
"LABEL_1": 1,
|
| 23 |
+
"LABEL_2": 2
|
| 24 |
+
},
|
| 25 |
+
"layer_norm_eps": 1e-05,
|
| 26 |
+
"max_position_embeddings": 514,
|
| 27 |
+
"model_type": "xlm-roberta",
|
| 28 |
+
"num_attention_heads": 12,
|
| 29 |
+
"num_hidden_layers": 16,
|
| 30 |
+
"output_past": true,
|
| 31 |
+
"pad_token_id": 1,
|
| 32 |
+
"position_embedding_type": "absolute",
|
| 33 |
+
"problem_type": "single_label_classification",
|
| 34 |
+
"torch_dtype": "float32",
|
| 35 |
+
"transformers_version": "4.47.1",
|
| 36 |
+
"type_vocab_size": 1,
|
| 37 |
+
"use_cache": true,
|
| 38 |
+
"vocab_size": 250002
|
| 39 |
+
}
|
checkpoint-4470/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:19b783964f48a24eb5dcff631d9f4731ba908394851c23861be1d41350494bb9
|
| 3 |
+
size 1225621956
|
checkpoint-4470/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:db1688d5d8ded2d0a37c5bc8c6d823efcbdca794c510ceb543e7cc05415cff6e
|
| 3 |
+
size 2451401082
|
checkpoint-4470/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2a9299341ef2de240583d3ff7beb83d086ec86f3669a198c44be314f70b55a98
|
| 3 |
+
size 14244
|
checkpoint-4470/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:28495009a3b93c7ecb81ee55567c92a631d96061f1db4aa11d6cebe54fd5ea35
|
| 3 |
+
size 1064
|
checkpoint-4470/trainer_state.json
ADDED
|
@@ -0,0 +1,755 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.8859611231101512,
|
| 3 |
+
"best_model_checkpoint": "./sentiment_model/checkpoint-4023",
|
| 4 |
+
"epoch": 10.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 4470,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.11185682326621924,
|
| 13 |
+
"grad_norm": 18.68804168701172,
|
| 14 |
+
"learning_rate": 5.3691275167785235e-06,
|
| 15 |
+
"loss": 4.4686,
|
| 16 |
+
"step": 50
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.22371364653243847,
|
| 20 |
+
"grad_norm": 33.30501937866211,
|
| 21 |
+
"learning_rate": 1.0738255033557047e-05,
|
| 22 |
+
"loss": 4.0139,
|
| 23 |
+
"step": 100
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.33557046979865773,
|
| 27 |
+
"grad_norm": 48.02063751220703,
|
| 28 |
+
"learning_rate": 1.633109619686801e-05,
|
| 29 |
+
"loss": 2.9933,
|
| 30 |
+
"step": 150
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.44742729306487694,
|
| 34 |
+
"grad_norm": 35.39257049560547,
|
| 35 |
+
"learning_rate": 2.192393736017897e-05,
|
| 36 |
+
"loss": 2.5147,
|
| 37 |
+
"step": 200
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.5592841163310962,
|
| 41 |
+
"grad_norm": 39.318363189697266,
|
| 42 |
+
"learning_rate": 2.7404921700223713e-05,
|
| 43 |
+
"loss": 2.4221,
|
| 44 |
+
"step": 250
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.6711409395973155,
|
| 48 |
+
"grad_norm": 50.962833404541016,
|
| 49 |
+
"learning_rate": 3.2997762863534674e-05,
|
| 50 |
+
"loss": 2.3124,
|
| 51 |
+
"step": 300
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.7829977628635347,
|
| 55 |
+
"grad_norm": 37.32981491088867,
|
| 56 |
+
"learning_rate": 3.859060402684564e-05,
|
| 57 |
+
"loss": 2.4092,
|
| 58 |
+
"step": 350
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.8948545861297539,
|
| 62 |
+
"grad_norm": 32.42803955078125,
|
| 63 |
+
"learning_rate": 4.4183445190156604e-05,
|
| 64 |
+
"loss": 2.4183,
|
| 65 |
+
"step": 400
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 1.0,
|
| 69 |
+
"eval_accuracy": 0.7844492440604751,
|
| 70 |
+
"eval_loss": 0.5040740370750427,
|
| 71 |
+
"eval_runtime": 19.6714,
|
| 72 |
+
"eval_samples_per_second": 117.683,
|
| 73 |
+
"eval_steps_per_second": 3.711,
|
| 74 |
+
"step": 447
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 1.0067114093959733,
|
| 78 |
+
"grad_norm": 20.918420791625977,
|
| 79 |
+
"learning_rate": 4.977628635346757e-05,
|
| 80 |
+
"loss": 2.3532,
|
| 81 |
+
"step": 450
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 1.1185682326621924,
|
| 85 |
+
"grad_norm": 28.06084442138672,
|
| 86 |
+
"learning_rate": 4.94034302759135e-05,
|
| 87 |
+
"loss": 2.1244,
|
| 88 |
+
"step": 500
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"epoch": 1.2304250559284116,
|
| 92 |
+
"grad_norm": 40.768096923828125,
|
| 93 |
+
"learning_rate": 4.8782003479990054e-05,
|
| 94 |
+
"loss": 2.3004,
|
| 95 |
+
"step": 550
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"epoch": 1.342281879194631,
|
| 99 |
+
"grad_norm": 19.545913696289062,
|
| 100 |
+
"learning_rate": 4.816057668406662e-05,
|
| 101 |
+
"loss": 2.2399,
|
| 102 |
+
"step": 600
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"epoch": 1.45413870246085,
|
| 106 |
+
"grad_norm": 69.29216766357422,
|
| 107 |
+
"learning_rate": 4.753914988814318e-05,
|
| 108 |
+
"loss": 2.1458,
|
| 109 |
+
"step": 650
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"epoch": 1.5659955257270695,
|
| 113 |
+
"grad_norm": 29.00174903869629,
|
| 114 |
+
"learning_rate": 4.691772309221974e-05,
|
| 115 |
+
"loss": 2.0778,
|
| 116 |
+
"step": 700
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 1.6778523489932886,
|
| 120 |
+
"grad_norm": 28.77162742614746,
|
| 121 |
+
"learning_rate": 4.62962962962963e-05,
|
| 122 |
+
"loss": 2.1317,
|
| 123 |
+
"step": 750
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 1.7897091722595078,
|
| 127 |
+
"grad_norm": 36.04485321044922,
|
| 128 |
+
"learning_rate": 4.5674869500372856e-05,
|
| 129 |
+
"loss": 2.1345,
|
| 130 |
+
"step": 800
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"epoch": 1.901565995525727,
|
| 134 |
+
"grad_norm": 51.31829071044922,
|
| 135 |
+
"learning_rate": 4.505344270444942e-05,
|
| 136 |
+
"loss": 2.2048,
|
| 137 |
+
"step": 850
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 2.0,
|
| 141 |
+
"eval_accuracy": 0.8138228941684665,
|
| 142 |
+
"eval_loss": 0.43246370553970337,
|
| 143 |
+
"eval_runtime": 19.9941,
|
| 144 |
+
"eval_samples_per_second": 115.784,
|
| 145 |
+
"eval_steps_per_second": 3.651,
|
| 146 |
+
"step": 894
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 2.0134228187919465,
|
| 150 |
+
"grad_norm": 19.70203971862793,
|
| 151 |
+
"learning_rate": 4.443201590852597e-05,
|
| 152 |
+
"loss": 2.0482,
|
| 153 |
+
"step": 900
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 2.1252796420581657,
|
| 157 |
+
"grad_norm": 44.575721740722656,
|
| 158 |
+
"learning_rate": 4.381058911260254e-05,
|
| 159 |
+
"loss": 1.8304,
|
| 160 |
+
"step": 950
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"epoch": 2.237136465324385,
|
| 164 |
+
"grad_norm": 48.66209411621094,
|
| 165 |
+
"learning_rate": 4.31891623166791e-05,
|
| 166 |
+
"loss": 1.7784,
|
| 167 |
+
"step": 1000
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"epoch": 2.348993288590604,
|
| 171 |
+
"grad_norm": 19.984678268432617,
|
| 172 |
+
"learning_rate": 4.256773552075566e-05,
|
| 173 |
+
"loss": 1.8457,
|
| 174 |
+
"step": 1050
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 2.460850111856823,
|
| 178 |
+
"grad_norm": 64.9332275390625,
|
| 179 |
+
"learning_rate": 4.194630872483222e-05,
|
| 180 |
+
"loss": 1.7747,
|
| 181 |
+
"step": 1100
|
| 182 |
+
},
|
| 183 |
+
{
|
| 184 |
+
"epoch": 2.5727069351230423,
|
| 185 |
+
"grad_norm": 20.591524124145508,
|
| 186 |
+
"learning_rate": 4.1324881928908774e-05,
|
| 187 |
+
"loss": 1.9082,
|
| 188 |
+
"step": 1150
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 2.684563758389262,
|
| 192 |
+
"grad_norm": 24.512027740478516,
|
| 193 |
+
"learning_rate": 4.0703455132985336e-05,
|
| 194 |
+
"loss": 1.8399,
|
| 195 |
+
"step": 1200
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 2.796420581655481,
|
| 199 |
+
"grad_norm": 18.300504684448242,
|
| 200 |
+
"learning_rate": 4.00820283370619e-05,
|
| 201 |
+
"loss": 1.7937,
|
| 202 |
+
"step": 1250
|
| 203 |
+
},
|
| 204 |
+
{
|
| 205 |
+
"epoch": 2.9082774049217,
|
| 206 |
+
"grad_norm": 40.87727737426758,
|
| 207 |
+
"learning_rate": 3.946060154113845e-05,
|
| 208 |
+
"loss": 1.8174,
|
| 209 |
+
"step": 1300
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 3.0,
|
| 213 |
+
"eval_accuracy": 0.8535637149028078,
|
| 214 |
+
"eval_loss": 0.37263187766075134,
|
| 215 |
+
"eval_runtime": 19.6701,
|
| 216 |
+
"eval_samples_per_second": 117.691,
|
| 217 |
+
"eval_steps_per_second": 3.711,
|
| 218 |
+
"step": 1341
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 3.0201342281879193,
|
| 222 |
+
"grad_norm": 29.54434585571289,
|
| 223 |
+
"learning_rate": 3.883917474521502e-05,
|
| 224 |
+
"loss": 1.8262,
|
| 225 |
+
"step": 1350
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"epoch": 3.131991051454139,
|
| 229 |
+
"grad_norm": 19.222951889038086,
|
| 230 |
+
"learning_rate": 3.8217747949291576e-05,
|
| 231 |
+
"loss": 1.5486,
|
| 232 |
+
"step": 1400
|
| 233 |
+
},
|
| 234 |
+
{
|
| 235 |
+
"epoch": 3.243847874720358,
|
| 236 |
+
"grad_norm": 36.32904052734375,
|
| 237 |
+
"learning_rate": 3.759632115336814e-05,
|
| 238 |
+
"loss": 1.5273,
|
| 239 |
+
"step": 1450
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 3.3557046979865772,
|
| 243 |
+
"grad_norm": 27.05373764038086,
|
| 244 |
+
"learning_rate": 3.697489435744469e-05,
|
| 245 |
+
"loss": 1.5796,
|
| 246 |
+
"step": 1500
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"epoch": 3.4675615212527964,
|
| 250 |
+
"grad_norm": 50.08060836791992,
|
| 251 |
+
"learning_rate": 3.6353467561521254e-05,
|
| 252 |
+
"loss": 1.5104,
|
| 253 |
+
"step": 1550
|
| 254 |
+
},
|
| 255 |
+
{
|
| 256 |
+
"epoch": 3.5794183445190155,
|
| 257 |
+
"grad_norm": 29.98794174194336,
|
| 258 |
+
"learning_rate": 3.5732040765597816e-05,
|
| 259 |
+
"loss": 1.6298,
|
| 260 |
+
"step": 1600
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 3.6912751677852347,
|
| 264 |
+
"grad_norm": 33.08045196533203,
|
| 265 |
+
"learning_rate": 3.511061396967437e-05,
|
| 266 |
+
"loss": 1.4769,
|
| 267 |
+
"step": 1650
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 3.8031319910514543,
|
| 271 |
+
"grad_norm": 30.475862503051758,
|
| 272 |
+
"learning_rate": 3.448918717375094e-05,
|
| 273 |
+
"loss": 1.547,
|
| 274 |
+
"step": 1700
|
| 275 |
+
},
|
| 276 |
+
{
|
| 277 |
+
"epoch": 3.9149888143176734,
|
| 278 |
+
"grad_norm": 29.52466583251953,
|
| 279 |
+
"learning_rate": 3.3867760377827495e-05,
|
| 280 |
+
"loss": 1.4918,
|
| 281 |
+
"step": 1750
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 4.0,
|
| 285 |
+
"eval_accuracy": 0.8501079913606912,
|
| 286 |
+
"eval_loss": 0.38409608602523804,
|
| 287 |
+
"eval_runtime": 19.6128,
|
| 288 |
+
"eval_samples_per_second": 118.035,
|
| 289 |
+
"eval_steps_per_second": 3.722,
|
| 290 |
+
"step": 1788
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 4.026845637583893,
|
| 294 |
+
"grad_norm": 27.849456787109375,
|
| 295 |
+
"learning_rate": 3.3246333581904056e-05,
|
| 296 |
+
"loss": 1.4653,
|
| 297 |
+
"step": 1800
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 4.138702460850112,
|
| 301 |
+
"grad_norm": 39.9719123840332,
|
| 302 |
+
"learning_rate": 3.262490678598061e-05,
|
| 303 |
+
"loss": 1.2247,
|
| 304 |
+
"step": 1850
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 4.250559284116331,
|
| 308 |
+
"grad_norm": 43.72661590576172,
|
| 309 |
+
"learning_rate": 3.200347999005717e-05,
|
| 310 |
+
"loss": 1.2065,
|
| 311 |
+
"step": 1900
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 4.3624161073825505,
|
| 315 |
+
"grad_norm": 29.79233169555664,
|
| 316 |
+
"learning_rate": 3.1382053194133735e-05,
|
| 317 |
+
"loss": 1.2585,
|
| 318 |
+
"step": 1950
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 4.47427293064877,
|
| 322 |
+
"grad_norm": 30.871849060058594,
|
| 323 |
+
"learning_rate": 3.076062639821029e-05,
|
| 324 |
+
"loss": 1.2602,
|
| 325 |
+
"step": 2000
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 4.586129753914989,
|
| 329 |
+
"grad_norm": 30.835567474365234,
|
| 330 |
+
"learning_rate": 3.0139199602286848e-05,
|
| 331 |
+
"loss": 1.2781,
|
| 332 |
+
"step": 2050
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 4.697986577181208,
|
| 336 |
+
"grad_norm": 37.51513671875,
|
| 337 |
+
"learning_rate": 2.9517772806363413e-05,
|
| 338 |
+
"loss": 1.228,
|
| 339 |
+
"step": 2100
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 4.809843400447427,
|
| 343 |
+
"grad_norm": 35.483665466308594,
|
| 344 |
+
"learning_rate": 2.889634601043997e-05,
|
| 345 |
+
"loss": 1.2876,
|
| 346 |
+
"step": 2150
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 4.921700223713646,
|
| 350 |
+
"grad_norm": 21.087987899780273,
|
| 351 |
+
"learning_rate": 2.8274919214516533e-05,
|
| 352 |
+
"loss": 1.2457,
|
| 353 |
+
"step": 2200
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 5.0,
|
| 357 |
+
"eval_accuracy": 0.8660907127429806,
|
| 358 |
+
"eval_loss": 0.3854082524776459,
|
| 359 |
+
"eval_runtime": 19.9697,
|
| 360 |
+
"eval_samples_per_second": 115.926,
|
| 361 |
+
"eval_steps_per_second": 3.656,
|
| 362 |
+
"step": 2235
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 5.033557046979865,
|
| 366 |
+
"grad_norm": 32.84519577026367,
|
| 367 |
+
"learning_rate": 2.765349241859309e-05,
|
| 368 |
+
"loss": 1.1247,
|
| 369 |
+
"step": 2250
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 5.145413870246085,
|
| 373 |
+
"grad_norm": 42.308837890625,
|
| 374 |
+
"learning_rate": 2.703206562266965e-05,
|
| 375 |
+
"loss": 0.9676,
|
| 376 |
+
"step": 2300
|
| 377 |
+
},
|
| 378 |
+
{
|
| 379 |
+
"epoch": 5.257270693512305,
|
| 380 |
+
"grad_norm": 32.68018341064453,
|
| 381 |
+
"learning_rate": 2.6410638826746208e-05,
|
| 382 |
+
"loss": 0.9049,
|
| 383 |
+
"step": 2350
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"epoch": 5.369127516778524,
|
| 387 |
+
"grad_norm": 40.90736770629883,
|
| 388 |
+
"learning_rate": 2.5789212030822766e-05,
|
| 389 |
+
"loss": 0.8973,
|
| 390 |
+
"step": 2400
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 5.480984340044743,
|
| 394 |
+
"grad_norm": 42.41788864135742,
|
| 395 |
+
"learning_rate": 2.516778523489933e-05,
|
| 396 |
+
"loss": 0.972,
|
| 397 |
+
"step": 2450
|
| 398 |
+
},
|
| 399 |
+
{
|
| 400 |
+
"epoch": 5.592841163310962,
|
| 401 |
+
"grad_norm": 61.866180419921875,
|
| 402 |
+
"learning_rate": 2.454635843897589e-05,
|
| 403 |
+
"loss": 0.9687,
|
| 404 |
+
"step": 2500
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 5.704697986577181,
|
| 408 |
+
"grad_norm": 54.289512634277344,
|
| 409 |
+
"learning_rate": 2.392493164305245e-05,
|
| 410 |
+
"loss": 0.986,
|
| 411 |
+
"step": 2550
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 5.8165548098434,
|
| 415 |
+
"grad_norm": 32.10563659667969,
|
| 416 |
+
"learning_rate": 2.330350484712901e-05,
|
| 417 |
+
"loss": 0.981,
|
| 418 |
+
"step": 2600
|
| 419 |
+
},
|
| 420 |
+
{
|
| 421 |
+
"epoch": 5.9284116331096195,
|
| 422 |
+
"grad_norm": 34.02315139770508,
|
| 423 |
+
"learning_rate": 2.2682078051205568e-05,
|
| 424 |
+
"loss": 0.9679,
|
| 425 |
+
"step": 2650
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"epoch": 6.0,
|
| 429 |
+
"eval_accuracy": 0.8678185745140389,
|
| 430 |
+
"eval_loss": 0.3706440329551697,
|
| 431 |
+
"eval_runtime": 19.6479,
|
| 432 |
+
"eval_samples_per_second": 117.824,
|
| 433 |
+
"eval_steps_per_second": 3.715,
|
| 434 |
+
"step": 2682
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"epoch": 6.040268456375839,
|
| 438 |
+
"grad_norm": 36.86701965332031,
|
| 439 |
+
"learning_rate": 2.2060651255282127e-05,
|
| 440 |
+
"loss": 0.9318,
|
| 441 |
+
"step": 2700
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 6.152125279642058,
|
| 445 |
+
"grad_norm": 42.711204528808594,
|
| 446 |
+
"learning_rate": 2.145165299527716e-05,
|
| 447 |
+
"loss": 0.703,
|
| 448 |
+
"step": 2750
|
| 449 |
+
},
|
| 450 |
+
{
|
| 451 |
+
"epoch": 6.263982102908278,
|
| 452 |
+
"grad_norm": 38.12577819824219,
|
| 453 |
+
"learning_rate": 2.0830226199353717e-05,
|
| 454 |
+
"loss": 0.764,
|
| 455 |
+
"step": 2800
|
| 456 |
+
},
|
| 457 |
+
{
|
| 458 |
+
"epoch": 6.375838926174497,
|
| 459 |
+
"grad_norm": 32.06464767456055,
|
| 460 |
+
"learning_rate": 2.0208799403430276e-05,
|
| 461 |
+
"loss": 0.739,
|
| 462 |
+
"step": 2850
|
| 463 |
+
},
|
| 464 |
+
{
|
| 465 |
+
"epoch": 6.487695749440716,
|
| 466 |
+
"grad_norm": 36.63414001464844,
|
| 467 |
+
"learning_rate": 1.9587372607506838e-05,
|
| 468 |
+
"loss": 0.7173,
|
| 469 |
+
"step": 2900
|
| 470 |
+
},
|
| 471 |
+
{
|
| 472 |
+
"epoch": 6.599552572706935,
|
| 473 |
+
"grad_norm": 61.28206253051758,
|
| 474 |
+
"learning_rate": 1.8965945811583396e-05,
|
| 475 |
+
"loss": 0.7164,
|
| 476 |
+
"step": 2950
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 6.7114093959731544,
|
| 480 |
+
"grad_norm": 27.83030891418457,
|
| 481 |
+
"learning_rate": 1.8344519015659954e-05,
|
| 482 |
+
"loss": 0.7629,
|
| 483 |
+
"step": 3000
|
| 484 |
+
},
|
| 485 |
+
{
|
| 486 |
+
"epoch": 6.823266219239374,
|
| 487 |
+
"grad_norm": 46.308189392089844,
|
| 488 |
+
"learning_rate": 1.7723092219736516e-05,
|
| 489 |
+
"loss": 0.7298,
|
| 490 |
+
"step": 3050
|
| 491 |
+
},
|
| 492 |
+
{
|
| 493 |
+
"epoch": 6.935123042505593,
|
| 494 |
+
"grad_norm": 63.58484649658203,
|
| 495 |
+
"learning_rate": 1.7101665423813078e-05,
|
| 496 |
+
"loss": 0.6876,
|
| 497 |
+
"step": 3100
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"epoch": 7.0,
|
| 501 |
+
"eval_accuracy": 0.8825053995680345,
|
| 502 |
+
"eval_loss": 0.3750421702861786,
|
| 503 |
+
"eval_runtime": 19.8931,
|
| 504 |
+
"eval_samples_per_second": 116.372,
|
| 505 |
+
"eval_steps_per_second": 3.67,
|
| 506 |
+
"step": 3129
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 7.046979865771812,
|
| 510 |
+
"grad_norm": 44.923614501953125,
|
| 511 |
+
"learning_rate": 1.6480238627889636e-05,
|
| 512 |
+
"loss": 0.6694,
|
| 513 |
+
"step": 3150
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 7.158836689038031,
|
| 517 |
+
"grad_norm": 55.236083984375,
|
| 518 |
+
"learning_rate": 1.5858811831966194e-05,
|
| 519 |
+
"loss": 0.5705,
|
| 520 |
+
"step": 3200
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 7.27069351230425,
|
| 524 |
+
"grad_norm": 57.69952392578125,
|
| 525 |
+
"learning_rate": 1.5237385036042756e-05,
|
| 526 |
+
"loss": 0.5369,
|
| 527 |
+
"step": 3250
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 7.382550335570469,
|
| 531 |
+
"grad_norm": 48.969078063964844,
|
| 532 |
+
"learning_rate": 1.4615958240119314e-05,
|
| 533 |
+
"loss": 0.5266,
|
| 534 |
+
"step": 3300
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 7.494407158836689,
|
| 538 |
+
"grad_norm": 30.38613510131836,
|
| 539 |
+
"learning_rate": 1.3994531444195874e-05,
|
| 540 |
+
"loss": 0.6426,
|
| 541 |
+
"step": 3350
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 7.6062639821029085,
|
| 545 |
+
"grad_norm": 32.06161880493164,
|
| 546 |
+
"learning_rate": 1.3385533184190904e-05,
|
| 547 |
+
"loss": 0.5366,
|
| 548 |
+
"step": 3400
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 7.718120805369128,
|
| 552 |
+
"grad_norm": 41.513572692871094,
|
| 553 |
+
"learning_rate": 1.2764106388267464e-05,
|
| 554 |
+
"loss": 0.536,
|
| 555 |
+
"step": 3450
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 7.829977628635347,
|
| 559 |
+
"grad_norm": 64.65313720703125,
|
| 560 |
+
"learning_rate": 1.2142679592344022e-05,
|
| 561 |
+
"loss": 0.5542,
|
| 562 |
+
"step": 3500
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 7.941834451901566,
|
| 566 |
+
"grad_norm": 59.38785934448242,
|
| 567 |
+
"learning_rate": 1.1521252796420582e-05,
|
| 568 |
+
"loss": 0.5386,
|
| 569 |
+
"step": 3550
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 8.0,
|
| 573 |
+
"eval_accuracy": 0.8825053995680345,
|
| 574 |
+
"eval_loss": 0.42663174867630005,
|
| 575 |
+
"eval_runtime": 19.6465,
|
| 576 |
+
"eval_samples_per_second": 117.833,
|
| 577 |
+
"eval_steps_per_second": 3.716,
|
| 578 |
+
"step": 3576
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 8.053691275167786,
|
| 582 |
+
"grad_norm": 46.52591323852539,
|
| 583 |
+
"learning_rate": 1.0899826000497142e-05,
|
| 584 |
+
"loss": 0.4777,
|
| 585 |
+
"step": 3600
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 8.165548098434005,
|
| 589 |
+
"grad_norm": 64.87262725830078,
|
| 590 |
+
"learning_rate": 1.0278399204573702e-05,
|
| 591 |
+
"loss": 0.447,
|
| 592 |
+
"step": 3650
|
| 593 |
+
},
|
| 594 |
+
{
|
| 595 |
+
"epoch": 8.277404921700224,
|
| 596 |
+
"grad_norm": 32.57583999633789,
|
| 597 |
+
"learning_rate": 9.65697240865026e-06,
|
| 598 |
+
"loss": 0.4654,
|
| 599 |
+
"step": 3700
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 8.389261744966444,
|
| 603 |
+
"grad_norm": 48.06557846069336,
|
| 604 |
+
"learning_rate": 9.035545612726822e-06,
|
| 605 |
+
"loss": 0.4814,
|
| 606 |
+
"step": 3750
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 8.501118568232663,
|
| 610 |
+
"grad_norm": 30.20526695251465,
|
| 611 |
+
"learning_rate": 8.41411881680338e-06,
|
| 612 |
+
"loss": 0.382,
|
| 613 |
+
"step": 3800
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"epoch": 8.612975391498882,
|
| 617 |
+
"grad_norm": 24.92857551574707,
|
| 618 |
+
"learning_rate": 7.79269202087994e-06,
|
| 619 |
+
"loss": 0.357,
|
| 620 |
+
"step": 3850
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 8.724832214765101,
|
| 624 |
+
"grad_norm": 50.68805694580078,
|
| 625 |
+
"learning_rate": 7.1836937608749695e-06,
|
| 626 |
+
"loss": 0.4397,
|
| 627 |
+
"step": 3900
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 8.83668903803132,
|
| 631 |
+
"grad_norm": 6.66060733795166,
|
| 632 |
+
"learning_rate": 6.562266964951529e-06,
|
| 633 |
+
"loss": 0.4038,
|
| 634 |
+
"step": 3950
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"epoch": 8.94854586129754,
|
| 638 |
+
"grad_norm": 11.322134017944336,
|
| 639 |
+
"learning_rate": 5.940840169028089e-06,
|
| 640 |
+
"loss": 0.4638,
|
| 641 |
+
"step": 4000
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 9.0,
|
| 645 |
+
"eval_accuracy": 0.8859611231101512,
|
| 646 |
+
"eval_loss": 0.45952075719833374,
|
| 647 |
+
"eval_runtime": 19.6573,
|
| 648 |
+
"eval_samples_per_second": 117.768,
|
| 649 |
+
"eval_steps_per_second": 3.714,
|
| 650 |
+
"step": 4023
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"epoch": 9.060402684563758,
|
| 654 |
+
"grad_norm": 19.315446853637695,
|
| 655 |
+
"learning_rate": 5.319413373104649e-06,
|
| 656 |
+
"loss": 0.3911,
|
| 657 |
+
"step": 4050
|
| 658 |
+
},
|
| 659 |
+
{
|
| 660 |
+
"epoch": 9.172259507829978,
|
| 661 |
+
"grad_norm": 21.74611473083496,
|
| 662 |
+
"learning_rate": 4.697986577181209e-06,
|
| 663 |
+
"loss": 0.3029,
|
| 664 |
+
"step": 4100
|
| 665 |
+
},
|
| 666 |
+
{
|
| 667 |
+
"epoch": 9.284116331096197,
|
| 668 |
+
"grad_norm": 7.977785587310791,
|
| 669 |
+
"learning_rate": 4.076559781257768e-06,
|
| 670 |
+
"loss": 0.2811,
|
| 671 |
+
"step": 4150
|
| 672 |
+
},
|
| 673 |
+
{
|
| 674 |
+
"epoch": 9.395973154362416,
|
| 675 |
+
"grad_norm": 70.15277862548828,
|
| 676 |
+
"learning_rate": 3.455132985334328e-06,
|
| 677 |
+
"loss": 0.3847,
|
| 678 |
+
"step": 4200
|
| 679 |
+
},
|
| 680 |
+
{
|
| 681 |
+
"epoch": 9.507829977628635,
|
| 682 |
+
"grad_norm": 81.53914642333984,
|
| 683 |
+
"learning_rate": 2.8337061894108876e-06,
|
| 684 |
+
"loss": 0.3124,
|
| 685 |
+
"step": 4250
|
| 686 |
+
},
|
| 687 |
+
{
|
| 688 |
+
"epoch": 9.619686800894854,
|
| 689 |
+
"grad_norm": 21.751493453979492,
|
| 690 |
+
"learning_rate": 2.2122793934874472e-06,
|
| 691 |
+
"loss": 0.2797,
|
| 692 |
+
"step": 4300
|
| 693 |
+
},
|
| 694 |
+
{
|
| 695 |
+
"epoch": 9.731543624161073,
|
| 696 |
+
"grad_norm": 69.72137451171875,
|
| 697 |
+
"learning_rate": 1.5908525975640068e-06,
|
| 698 |
+
"loss": 0.3571,
|
| 699 |
+
"step": 4350
|
| 700 |
+
},
|
| 701 |
+
{
|
| 702 |
+
"epoch": 9.843400447427292,
|
| 703 |
+
"grad_norm": 162.82540893554688,
|
| 704 |
+
"learning_rate": 9.694258016405668e-07,
|
| 705 |
+
"loss": 0.3267,
|
| 706 |
+
"step": 4400
|
| 707 |
+
},
|
| 708 |
+
{
|
| 709 |
+
"epoch": 9.955257270693512,
|
| 710 |
+
"grad_norm": 89.5910415649414,
|
| 711 |
+
"learning_rate": 3.4799900571712656e-07,
|
| 712 |
+
"loss": 0.378,
|
| 713 |
+
"step": 4450
|
| 714 |
+
},
|
| 715 |
+
{
|
| 716 |
+
"epoch": 10.0,
|
| 717 |
+
"eval_accuracy": 0.885097192224622,
|
| 718 |
+
"eval_loss": 0.5304617285728455,
|
| 719 |
+
"eval_runtime": 20.0633,
|
| 720 |
+
"eval_samples_per_second": 115.385,
|
| 721 |
+
"eval_steps_per_second": 3.638,
|
| 722 |
+
"step": 4470
|
| 723 |
+
}
|
| 724 |
+
],
|
| 725 |
+
"logging_steps": 50,
|
| 726 |
+
"max_steps": 4470,
|
| 727 |
+
"num_input_tokens_seen": 0,
|
| 728 |
+
"num_train_epochs": 10,
|
| 729 |
+
"save_steps": 500,
|
| 730 |
+
"stateful_callbacks": {
|
| 731 |
+
"EarlyStoppingCallback": {
|
| 732 |
+
"args": {
|
| 733 |
+
"early_stopping_patience": 3,
|
| 734 |
+
"early_stopping_threshold": 0.0
|
| 735 |
+
},
|
| 736 |
+
"attributes": {
|
| 737 |
+
"early_stopping_patience_counter": 1
|
| 738 |
+
}
|
| 739 |
+
},
|
| 740 |
+
"TrainerControl": {
|
| 741 |
+
"args": {
|
| 742 |
+
"should_epoch_stop": false,
|
| 743 |
+
"should_evaluate": false,
|
| 744 |
+
"should_log": false,
|
| 745 |
+
"should_save": true,
|
| 746 |
+
"should_training_stop": true
|
| 747 |
+
},
|
| 748 |
+
"attributes": {}
|
| 749 |
+
}
|
| 750 |
+
},
|
| 751 |
+
"total_flos": 1.0016683219888128e+17,
|
| 752 |
+
"train_batch_size": 16,
|
| 753 |
+
"trial_name": null,
|
| 754 |
+
"trial_params": null
|
| 755 |
+
}
|
checkpoint-4470/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b5ca2cef10b94920dcbcc3b9cd54c0948da4a0947897ea88575e16e1dc113b07
|
| 3 |
+
size 5240
|
config.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "FacebookAI/xlm-roberta-base",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"XLMRobertaForSequenceClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.1,
|
| 7 |
+
"bos_token_id": 0,
|
| 8 |
+
"classifier_dropout": null,
|
| 9 |
+
"eos_token_id": 2,
|
| 10 |
+
"hidden_act": "gelu",
|
| 11 |
+
"hidden_dropout_prob": 0.1,
|
| 12 |
+
"hidden_size": 768,
|
| 13 |
+
"id2label": {
|
| 14 |
+
"0": "LABEL_0",
|
| 15 |
+
"1": "LABEL_1",
|
| 16 |
+
"2": "LABEL_2"
|
| 17 |
+
},
|
| 18 |
+
"initializer_range": 0.02,
|
| 19 |
+
"intermediate_size": 3072,
|
| 20 |
+
"label2id": {
|
| 21 |
+
"LABEL_0": 0,
|
| 22 |
+
"LABEL_1": 1,
|
| 23 |
+
"LABEL_2": 2
|
| 24 |
+
},
|
| 25 |
+
"layer_norm_eps": 1e-05,
|
| 26 |
+
"max_position_embeddings": 514,
|
| 27 |
+
"model_type": "xlm-roberta",
|
| 28 |
+
"num_attention_heads": 12,
|
| 29 |
+
"num_hidden_layers": 16,
|
| 30 |
+
"output_past": true,
|
| 31 |
+
"pad_token_id": 1,
|
| 32 |
+
"position_embedding_type": "absolute",
|
| 33 |
+
"problem_type": "single_label_classification",
|
| 34 |
+
"torch_dtype": "float32",
|
| 35 |
+
"transformers_version": "4.47.1",
|
| 36 |
+
"type_vocab_size": 1,
|
| 37 |
+
"use_cache": true,
|
| 38 |
+
"vocab_size": 250002
|
| 39 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fd4f95342878d7d2f24f7999e41c1ad7dcdb6d73e2964546df43bc570c243e01
|
| 3 |
+
size 1225621956
|
sentencepiece.bpe.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865
|
| 3 |
+
size 5069051
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": "<s>",
|
| 3 |
+
"cls_token": "<s>",
|
| 4 |
+
"eos_token": "</s>",
|
| 5 |
+
"mask_token": {
|
| 6 |
+
"content": "<mask>",
|
| 7 |
+
"lstrip": true,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false
|
| 11 |
+
},
|
| 12 |
+
"pad_token": "<pad>",
|
| 13 |
+
"sep_token": "</s>",
|
| 14 |
+
"unk_token": "<unk>"
|
| 15 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3ffb37461c391f096759f4a9bbbc329da0f36952f88bab061fcf84940c022e98
|
| 3 |
+
size 17082999
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,55 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "<s>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "<pad>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "</s>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"3": {
|
| 28 |
+
"content": "<unk>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"250001": {
|
| 36 |
+
"content": "<mask>",
|
| 37 |
+
"lstrip": true,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"bos_token": "<s>",
|
| 45 |
+
"clean_up_tokenization_spaces": false,
|
| 46 |
+
"cls_token": "<s>",
|
| 47 |
+
"eos_token": "</s>",
|
| 48 |
+
"extra_special_tokens": {},
|
| 49 |
+
"mask_token": "<mask>",
|
| 50 |
+
"model_max_length": 512,
|
| 51 |
+
"pad_token": "<pad>",
|
| 52 |
+
"sep_token": "</s>",
|
| 53 |
+
"tokenizer_class": "XLMRobertaTokenizer",
|
| 54 |
+
"unk_token": "<unk>"
|
| 55 |
+
}
|