Training in progress, epoch 1
Browse files- model.safetensors +1 -1
- run-0/checkpoint-10000/config.json +65 -0
- run-0/checkpoint-10000/model.safetensors +3 -0
- run-0/checkpoint-10000/optimizer.pt +3 -0
- run-0/checkpoint-10000/rng_state.pth +3 -0
- run-0/checkpoint-10000/scaler.pt +3 -0
- run-0/checkpoint-10000/scheduler.pt +3 -0
- run-0/checkpoint-10000/trainer_state.json +860 -0
- run-0/checkpoint-10000/training_args.bin +3 -0
- run-0/checkpoint-12000/config.json +65 -0
- run-0/checkpoint-12000/model.safetensors +3 -0
- run-0/checkpoint-12000/optimizer.pt +3 -0
- run-0/checkpoint-12000/rng_state.pth +3 -0
- run-0/checkpoint-12000/scaler.pt +3 -0
- run-0/checkpoint-12000/scheduler.pt +3 -0
- run-0/checkpoint-12000/trainer_state.json +1022 -0
- run-0/checkpoint-12000/training_args.bin +3 -0
- run-0/checkpoint-14000/config.json +65 -0
- run-0/checkpoint-14000/model.safetensors +3 -0
- run-0/checkpoint-14000/optimizer.pt +3 -0
- run-0/checkpoint-14000/rng_state.pth +3 -0
- run-0/checkpoint-14000/scaler.pt +3 -0
- run-0/checkpoint-14000/scheduler.pt +3 -0
- run-0/checkpoint-14000/trainer_state.json +1184 -0
- run-0/checkpoint-14000/training_args.bin +3 -0
- run-1/checkpoint-125/config.json +65 -0
- run-1/checkpoint-125/model.safetensors +3 -0
- run-1/checkpoint-125/optimizer.pt +3 -0
- run-1/checkpoint-125/rng_state.pth +3 -0
- run-1/checkpoint-125/scaler.pt +3 -0
- run-1/checkpoint-125/scheduler.pt +3 -0
- run-1/checkpoint-125/trainer_state.json +79 -0
- run-1/checkpoint-125/training_args.bin +3 -0
- training_args.bin +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 438007864
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:52c4ecf0fb267ca0111315770c7aee028de79177925924f83b69d961b456b023
|
| 3 |
size 438007864
|
run-0/checkpoint-10000/config.json
ADDED
|
@@ -0,0 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"BertForSequenceClassification"
|
| 4 |
+
],
|
| 5 |
+
"attention_probs_dropout_prob": 0.1,
|
| 6 |
+
"classifier_dropout": null,
|
| 7 |
+
"gradient_checkpointing": false,
|
| 8 |
+
"hidden_act": "gelu",
|
| 9 |
+
"hidden_dropout_prob": 0.1,
|
| 10 |
+
"hidden_size": 768,
|
| 11 |
+
"id2label": {
|
| 12 |
+
"0": "LABEL_0",
|
| 13 |
+
"1": "LABEL_1",
|
| 14 |
+
"2": "LABEL_2",
|
| 15 |
+
"3": "LABEL_3",
|
| 16 |
+
"4": "LABEL_4",
|
| 17 |
+
"5": "LABEL_5",
|
| 18 |
+
"6": "LABEL_6",
|
| 19 |
+
"7": "LABEL_7",
|
| 20 |
+
"8": "LABEL_8",
|
| 21 |
+
"9": "LABEL_9",
|
| 22 |
+
"10": "LABEL_10",
|
| 23 |
+
"11": "LABEL_11",
|
| 24 |
+
"12": "LABEL_12",
|
| 25 |
+
"13": "LABEL_13",
|
| 26 |
+
"14": "LABEL_14",
|
| 27 |
+
"15": "LABEL_15",
|
| 28 |
+
"16": "LABEL_16",
|
| 29 |
+
"17": "LABEL_17"
|
| 30 |
+
},
|
| 31 |
+
"initializer_range": 0.02,
|
| 32 |
+
"intermediate_size": 3072,
|
| 33 |
+
"label2id": {
|
| 34 |
+
"LABEL_0": 0,
|
| 35 |
+
"LABEL_1": 1,
|
| 36 |
+
"LABEL_10": 10,
|
| 37 |
+
"LABEL_11": 11,
|
| 38 |
+
"LABEL_12": 12,
|
| 39 |
+
"LABEL_13": 13,
|
| 40 |
+
"LABEL_14": 14,
|
| 41 |
+
"LABEL_15": 15,
|
| 42 |
+
"LABEL_16": 16,
|
| 43 |
+
"LABEL_17": 17,
|
| 44 |
+
"LABEL_2": 2,
|
| 45 |
+
"LABEL_3": 3,
|
| 46 |
+
"LABEL_4": 4,
|
| 47 |
+
"LABEL_5": 5,
|
| 48 |
+
"LABEL_6": 6,
|
| 49 |
+
"LABEL_7": 7,
|
| 50 |
+
"LABEL_8": 8,
|
| 51 |
+
"LABEL_9": 9
|
| 52 |
+
},
|
| 53 |
+
"layer_norm_eps": 1e-12,
|
| 54 |
+
"max_position_embeddings": 512,
|
| 55 |
+
"model_type": "bert",
|
| 56 |
+
"num_attention_heads": 12,
|
| 57 |
+
"num_hidden_layers": 12,
|
| 58 |
+
"pad_token_id": 0,
|
| 59 |
+
"position_embedding_type": "absolute",
|
| 60 |
+
"torch_dtype": "float32",
|
| 61 |
+
"transformers_version": "4.55.4",
|
| 62 |
+
"type_vocab_size": 2,
|
| 63 |
+
"use_cache": true,
|
| 64 |
+
"vocab_size": 30522
|
| 65 |
+
}
|
run-0/checkpoint-10000/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:151d50ff031b36f785718e9e9f316f3d7a5e87e2f11599c57ed44c7c4d9a8527
|
| 3 |
+
size 438007864
|
run-0/checkpoint-10000/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a66ad6b533a76a6bfdeec0d870a00afebaa861b50fbcc74ebb68ef6df365f29a
|
| 3 |
+
size 876140043
|
run-0/checkpoint-10000/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:14c39e64e59e8286453bf0b17c32f65ff9b3c161db8386dcfa997c86bd201138
|
| 3 |
+
size 14645
|
run-0/checkpoint-10000/scaler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eb74b75bedf8782dea7efd25c13f85c7a8962f335393852b7cabaca23984beb0
|
| 3 |
+
size 1383
|
run-0/checkpoint-10000/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a862f187509064124ca19d151ecafb5a63f35c3823a6203b8fc6a3956261cf5d
|
| 3 |
+
size 1465
|
run-0/checkpoint-10000/trainer_state.json
ADDED
|
@@ -0,0 +1,860 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 10000,
|
| 3 |
+
"best_metric": 0.8275137305036369,
|
| 4 |
+
"best_model_checkpoint": "./results/run-0/checkpoint-10000",
|
| 5 |
+
"epoch": 5.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 10000,
|
| 8 |
+
"is_hyper_param_search": true,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.05,
|
| 14 |
+
"grad_norm": 2.039576768875122,
|
| 15 |
+
"learning_rate": 1.447537100215313e-06,
|
| 16 |
+
"loss": 0.0,
|
| 17 |
+
"step": 100
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.1,
|
| 21 |
+
"grad_norm": 4.460484504699707,
|
| 22 |
+
"learning_rate": 2.9096957873014878e-06,
|
| 23 |
+
"loss": 0.0821,
|
| 24 |
+
"step": 200
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.15,
|
| 28 |
+
"grad_norm": 26.84711456298828,
|
| 29 |
+
"learning_rate": 4.371854474387663e-06,
|
| 30 |
+
"loss": 0.0519,
|
| 31 |
+
"step": 300
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.2,
|
| 35 |
+
"grad_norm": 0.6646966934204102,
|
| 36 |
+
"learning_rate": 5.834013161473838e-06,
|
| 37 |
+
"loss": 0.0,
|
| 38 |
+
"step": 400
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.25,
|
| 42 |
+
"grad_norm": 1.8385223150253296,
|
| 43 |
+
"learning_rate": 7.296171848560012e-06,
|
| 44 |
+
"loss": 0.0,
|
| 45 |
+
"step": 500
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.3,
|
| 49 |
+
"grad_norm": 0.9234638810157776,
|
| 50 |
+
"learning_rate": 8.758330535646188e-06,
|
| 51 |
+
"loss": 0.0,
|
| 52 |
+
"step": 600
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.35,
|
| 56 |
+
"grad_norm": 38.24382400512695,
|
| 57 |
+
"learning_rate": 9.9933989317167e-06,
|
| 58 |
+
"loss": 0.0,
|
| 59 |
+
"step": 700
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.4,
|
| 63 |
+
"grad_norm": 42.83884811401367,
|
| 64 |
+
"learning_rate": 9.94162234536513e-06,
|
| 65 |
+
"loss": 0.0,
|
| 66 |
+
"step": 800
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.45,
|
| 70 |
+
"grad_norm": 0.8020399808883667,
|
| 71 |
+
"learning_rate": 9.889845759013559e-06,
|
| 72 |
+
"loss": 0.0,
|
| 73 |
+
"step": 900
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.5,
|
| 77 |
+
"grad_norm": 0.86091148853302,
|
| 78 |
+
"learning_rate": 9.838069172661988e-06,
|
| 79 |
+
"loss": 0.0,
|
| 80 |
+
"step": 1000
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.55,
|
| 84 |
+
"grad_norm": 0.16439934074878693,
|
| 85 |
+
"learning_rate": 9.786292586310415e-06,
|
| 86 |
+
"loss": 0.0,
|
| 87 |
+
"step": 1100
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.6,
|
| 91 |
+
"grad_norm": 2.752115488052368,
|
| 92 |
+
"learning_rate": 9.734515999958846e-06,
|
| 93 |
+
"loss": 0.0,
|
| 94 |
+
"step": 1200
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.65,
|
| 98 |
+
"grad_norm": 1.5777802467346191,
|
| 99 |
+
"learning_rate": 9.682739413607275e-06,
|
| 100 |
+
"loss": 0.0,
|
| 101 |
+
"step": 1300
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.7,
|
| 105 |
+
"grad_norm": 5.708035945892334,
|
| 106 |
+
"learning_rate": 9.630962827255703e-06,
|
| 107 |
+
"loss": 0.0598,
|
| 108 |
+
"step": 1400
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.75,
|
| 112 |
+
"grad_norm": 0.3160113990306854,
|
| 113 |
+
"learning_rate": 9.579186240904132e-06,
|
| 114 |
+
"loss": 0.0441,
|
| 115 |
+
"step": 1500
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.8,
|
| 119 |
+
"grad_norm": 1.2273201942443848,
|
| 120 |
+
"learning_rate": 9.527409654552563e-06,
|
| 121 |
+
"loss": 0.0,
|
| 122 |
+
"step": 1600
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.85,
|
| 126 |
+
"grad_norm": 29.215551376342773,
|
| 127 |
+
"learning_rate": 9.47563306820099e-06,
|
| 128 |
+
"loss": 0.0,
|
| 129 |
+
"step": 1700
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.9,
|
| 133 |
+
"grad_norm": 0.18806450068950653,
|
| 134 |
+
"learning_rate": 9.42385648184942e-06,
|
| 135 |
+
"loss": 0.0,
|
| 136 |
+
"step": 1800
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.95,
|
| 140 |
+
"grad_norm": 0.41723617911338806,
|
| 141 |
+
"learning_rate": 9.372079895497849e-06,
|
| 142 |
+
"loss": 0.0183,
|
| 143 |
+
"step": 1900
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 1.0,
|
| 147 |
+
"grad_norm": 1.9550623893737793,
|
| 148 |
+
"learning_rate": 9.32030330914628e-06,
|
| 149 |
+
"loss": 0.0,
|
| 150 |
+
"step": 2000
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 1.0,
|
| 154 |
+
"eval_economic_inequality_accuracy": 0.8047858942065491,
|
| 155 |
+
"eval_economic_inequality_f1": 0.7536914695213144,
|
| 156 |
+
"eval_economic_policy_benefits_accuracy": 0.8282828282828283,
|
| 157 |
+
"eval_economic_policy_benefits_f1": 0.7567090529234769,
|
| 158 |
+
"eval_ethnic_boundaries_accuracy": 0.9526143790849673,
|
| 159 |
+
"eval_ethnic_boundaries_f1": 0.9344984933861545,
|
| 160 |
+
"eval_language_policy_accuracy": 0.7058823529411765,
|
| 161 |
+
"eval_language_policy_f1": 0.6071428571428571,
|
| 162 |
+
"eval_loss": NaN,
|
| 163 |
+
"eval_mother_tongue_education_accuracy": 0.8888888888888888,
|
| 164 |
+
"eval_mother_tongue_education_f1": 0.837037037037037,
|
| 165 |
+
"eval_overall_accuracy": 0.8392311075242039,
|
| 166 |
+
"eval_overall_f1": 0.782435168791527,
|
| 167 |
+
"eval_religion_ethnic_identity_accuracy": 0.8549323017408124,
|
| 168 |
+
"eval_religion_ethnic_identity_f1": 0.8055321027383222,
|
| 169 |
+
"eval_runtime": 4.4874,
|
| 170 |
+
"eval_samples_per_second": 891.378,
|
| 171 |
+
"eval_steps_per_second": 55.711,
|
| 172 |
+
"step": 2000
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"epoch": 1.05,
|
| 176 |
+
"grad_norm": 2.762986183166504,
|
| 177 |
+
"learning_rate": 9.268526722794707e-06,
|
| 178 |
+
"loss": 0.0,
|
| 179 |
+
"step": 2100
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 1.1,
|
| 183 |
+
"grad_norm": 0.5487369298934937,
|
| 184 |
+
"learning_rate": 9.216750136443136e-06,
|
| 185 |
+
"loss": 0.0,
|
| 186 |
+
"step": 2200
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 1.15,
|
| 190 |
+
"grad_norm": 4.76751184463501,
|
| 191 |
+
"learning_rate": 9.164973550091565e-06,
|
| 192 |
+
"loss": 0.0102,
|
| 193 |
+
"step": 2300
|
| 194 |
+
},
|
| 195 |
+
{
|
| 196 |
+
"epoch": 1.2,
|
| 197 |
+
"grad_norm": 2.681756019592285,
|
| 198 |
+
"learning_rate": 9.113196963739995e-06,
|
| 199 |
+
"loss": 0.0,
|
| 200 |
+
"step": 2400
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 1.25,
|
| 204 |
+
"grad_norm": 0.24124185740947723,
|
| 205 |
+
"learning_rate": 9.061420377388424e-06,
|
| 206 |
+
"loss": 0.0,
|
| 207 |
+
"step": 2500
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 1.3,
|
| 211 |
+
"grad_norm": 1.943154215812683,
|
| 212 |
+
"learning_rate": 9.009643791036853e-06,
|
| 213 |
+
"loss": 0.0,
|
| 214 |
+
"step": 2600
|
| 215 |
+
},
|
| 216 |
+
{
|
| 217 |
+
"epoch": 1.35,
|
| 218 |
+
"grad_norm": 0.28053101897239685,
|
| 219 |
+
"learning_rate": 8.957867204685282e-06,
|
| 220 |
+
"loss": 0.0347,
|
| 221 |
+
"step": 2700
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 1.4,
|
| 225 |
+
"grad_norm": 1.7952568531036377,
|
| 226 |
+
"learning_rate": 8.906090618333711e-06,
|
| 227 |
+
"loss": 0.4436,
|
| 228 |
+
"step": 2800
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"epoch": 1.45,
|
| 232 |
+
"grad_norm": 3.859933614730835,
|
| 233 |
+
"learning_rate": 8.85431403198214e-06,
|
| 234 |
+
"loss": 0.0,
|
| 235 |
+
"step": 2900
|
| 236 |
+
},
|
| 237 |
+
{
|
| 238 |
+
"epoch": 1.5,
|
| 239 |
+
"grad_norm": 1.094464898109436,
|
| 240 |
+
"learning_rate": 8.80253744563057e-06,
|
| 241 |
+
"loss": 0.0,
|
| 242 |
+
"step": 3000
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 1.55,
|
| 246 |
+
"grad_norm": 0.5670285820960999,
|
| 247 |
+
"learning_rate": 8.750760859278999e-06,
|
| 248 |
+
"loss": 0.0,
|
| 249 |
+
"step": 3100
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 1.6,
|
| 253 |
+
"grad_norm": 2.8412418365478516,
|
| 254 |
+
"learning_rate": 8.698984272927428e-06,
|
| 255 |
+
"loss": 0.0,
|
| 256 |
+
"step": 3200
|
| 257 |
+
},
|
| 258 |
+
{
|
| 259 |
+
"epoch": 1.65,
|
| 260 |
+
"grad_norm": 65.82475280761719,
|
| 261 |
+
"learning_rate": 8.647207686575855e-06,
|
| 262 |
+
"loss": 0.0,
|
| 263 |
+
"step": 3300
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 1.7,
|
| 267 |
+
"grad_norm": 8.976615905761719,
|
| 268 |
+
"learning_rate": 8.595431100224286e-06,
|
| 269 |
+
"loss": 0.0048,
|
| 270 |
+
"step": 3400
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"epoch": 1.75,
|
| 274 |
+
"grad_norm": 126.71548461914062,
|
| 275 |
+
"learning_rate": 8.543654513872716e-06,
|
| 276 |
+
"loss": 0.0,
|
| 277 |
+
"step": 3500
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"epoch": 1.8,
|
| 281 |
+
"grad_norm": 0.595015823841095,
|
| 282 |
+
"learning_rate": 8.491877927521143e-06,
|
| 283 |
+
"loss": 0.0033,
|
| 284 |
+
"step": 3600
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 1.85,
|
| 288 |
+
"grad_norm": 3.98215651512146,
|
| 289 |
+
"learning_rate": 8.440101341169572e-06,
|
| 290 |
+
"loss": 0.1482,
|
| 291 |
+
"step": 3700
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 1.9,
|
| 295 |
+
"grad_norm": 3.0417540073394775,
|
| 296 |
+
"learning_rate": 8.388324754818003e-06,
|
| 297 |
+
"loss": 0.0031,
|
| 298 |
+
"step": 3800
|
| 299 |
+
},
|
| 300 |
+
{
|
| 301 |
+
"epoch": 1.95,
|
| 302 |
+
"grad_norm": 27.85649299621582,
|
| 303 |
+
"learning_rate": 8.33654816846643e-06,
|
| 304 |
+
"loss": 0.0589,
|
| 305 |
+
"step": 3900
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"epoch": 2.0,
|
| 309 |
+
"grad_norm": 2.3094232082366943,
|
| 310 |
+
"learning_rate": 8.28477158211486e-06,
|
| 311 |
+
"loss": 0.0,
|
| 312 |
+
"step": 4000
|
| 313 |
+
},
|
| 314 |
+
{
|
| 315 |
+
"epoch": 2.0,
|
| 316 |
+
"eval_economic_inequality_accuracy": 0.8236775818639799,
|
| 317 |
+
"eval_economic_inequality_f1": 0.8161521311449569,
|
| 318 |
+
"eval_economic_policy_benefits_accuracy": 0.835016835016835,
|
| 319 |
+
"eval_economic_policy_benefits_f1": 0.81117677081242,
|
| 320 |
+
"eval_ethnic_boundaries_accuracy": 0.9477124183006536,
|
| 321 |
+
"eval_ethnic_boundaries_f1": 0.9421262334088456,
|
| 322 |
+
"eval_language_policy_accuracy": 0.7058823529411765,
|
| 323 |
+
"eval_language_policy_f1": 0.6071428571428571,
|
| 324 |
+
"eval_loss": NaN,
|
| 325 |
+
"eval_mother_tongue_education_accuracy": 0.7777777777777778,
|
| 326 |
+
"eval_mother_tongue_education_f1": 0.7407407407407408,
|
| 327 |
+
"eval_overall_accuracy": 0.8277126438976526,
|
| 328 |
+
"eval_overall_f1": 0.7960173130694123,
|
| 329 |
+
"eval_religion_ethnic_identity_accuracy": 0.8762088974854932,
|
| 330 |
+
"eval_religion_ethnic_identity_f1": 0.8587651451666537,
|
| 331 |
+
"eval_runtime": 4.4654,
|
| 332 |
+
"eval_samples_per_second": 895.775,
|
| 333 |
+
"eval_steps_per_second": 55.986,
|
| 334 |
+
"step": 4000
|
| 335 |
+
},
|
| 336 |
+
{
|
| 337 |
+
"epoch": 2.05,
|
| 338 |
+
"grad_norm": 8.547677040100098,
|
| 339 |
+
"learning_rate": 8.232994995763289e-06,
|
| 340 |
+
"loss": 0.0,
|
| 341 |
+
"step": 4100
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"epoch": 2.1,
|
| 345 |
+
"grad_norm": 117.06266784667969,
|
| 346 |
+
"learning_rate": 8.181218409411718e-06,
|
| 347 |
+
"loss": 0.0,
|
| 348 |
+
"step": 4200
|
| 349 |
+
},
|
| 350 |
+
{
|
| 351 |
+
"epoch": 2.15,
|
| 352 |
+
"grad_norm": 0.19274334609508514,
|
| 353 |
+
"learning_rate": 8.129441823060147e-06,
|
| 354 |
+
"loss": 0.0,
|
| 355 |
+
"step": 4300
|
| 356 |
+
},
|
| 357 |
+
{
|
| 358 |
+
"epoch": 2.2,
|
| 359 |
+
"grad_norm": 1.0360257625579834,
|
| 360 |
+
"learning_rate": 8.077665236708576e-06,
|
| 361 |
+
"loss": 0.0,
|
| 362 |
+
"step": 4400
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 2.25,
|
| 366 |
+
"grad_norm": 0.08476172387599945,
|
| 367 |
+
"learning_rate": 8.025888650357006e-06,
|
| 368 |
+
"loss": 0.0,
|
| 369 |
+
"step": 4500
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 2.3,
|
| 373 |
+
"grad_norm": 0.08015169203281403,
|
| 374 |
+
"learning_rate": 7.974112064005435e-06,
|
| 375 |
+
"loss": 0.0,
|
| 376 |
+
"step": 4600
|
| 377 |
+
},
|
| 378 |
+
{
|
| 379 |
+
"epoch": 2.35,
|
| 380 |
+
"grad_norm": 0.22844159603118896,
|
| 381 |
+
"learning_rate": 7.922335477653864e-06,
|
| 382 |
+
"loss": 0.0006,
|
| 383 |
+
"step": 4700
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"epoch": 2.4,
|
| 387 |
+
"grad_norm": 0.08015509694814682,
|
| 388 |
+
"learning_rate": 7.870558891302293e-06,
|
| 389 |
+
"loss": 0.0006,
|
| 390 |
+
"step": 4800
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 2.45,
|
| 394 |
+
"grad_norm": 5.426948547363281,
|
| 395 |
+
"learning_rate": 7.818782304950722e-06,
|
| 396 |
+
"loss": 0.0,
|
| 397 |
+
"step": 4900
|
| 398 |
+
},
|
| 399 |
+
{
|
| 400 |
+
"epoch": 2.5,
|
| 401 |
+
"grad_norm": 0.022730231285095215,
|
| 402 |
+
"learning_rate": 7.767005718599151e-06,
|
| 403 |
+
"loss": 0.0,
|
| 404 |
+
"step": 5000
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 2.55,
|
| 408 |
+
"grad_norm": 5.662137508392334,
|
| 409 |
+
"learning_rate": 7.71522913224758e-06,
|
| 410 |
+
"loss": 0.0,
|
| 411 |
+
"step": 5100
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 2.6,
|
| 415 |
+
"grad_norm": 0.05326724052429199,
|
| 416 |
+
"learning_rate": 7.66345254589601e-06,
|
| 417 |
+
"loss": 0.0,
|
| 418 |
+
"step": 5200
|
| 419 |
+
},
|
| 420 |
+
{
|
| 421 |
+
"epoch": 2.65,
|
| 422 |
+
"grad_norm": 2.7219042778015137,
|
| 423 |
+
"learning_rate": 7.611675959544438e-06,
|
| 424 |
+
"loss": 0.0003,
|
| 425 |
+
"step": 5300
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"epoch": 2.7,
|
| 429 |
+
"grad_norm": 4.045983791351318,
|
| 430 |
+
"learning_rate": 7.559899373192868e-06,
|
| 431 |
+
"loss": 0.0,
|
| 432 |
+
"step": 5400
|
| 433 |
+
},
|
| 434 |
+
{
|
| 435 |
+
"epoch": 2.75,
|
| 436 |
+
"grad_norm": 0.17610976099967957,
|
| 437 |
+
"learning_rate": 7.5081227868412964e-06,
|
| 438 |
+
"loss": 0.0,
|
| 439 |
+
"step": 5500
|
| 440 |
+
},
|
| 441 |
+
{
|
| 442 |
+
"epoch": 2.8,
|
| 443 |
+
"grad_norm": 0.03921931982040405,
|
| 444 |
+
"learning_rate": 7.456346200489726e-06,
|
| 445 |
+
"loss": 0.0,
|
| 446 |
+
"step": 5600
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 2.85,
|
| 450 |
+
"grad_norm": 3.3493025302886963,
|
| 451 |
+
"learning_rate": 7.404569614138155e-06,
|
| 452 |
+
"loss": 0.0,
|
| 453 |
+
"step": 5700
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 2.9,
|
| 457 |
+
"grad_norm": 0.17839455604553223,
|
| 458 |
+
"learning_rate": 7.352793027786584e-06,
|
| 459 |
+
"loss": 0.0,
|
| 460 |
+
"step": 5800
|
| 461 |
+
},
|
| 462 |
+
{
|
| 463 |
+
"epoch": 2.95,
|
| 464 |
+
"grad_norm": 0.01533100288361311,
|
| 465 |
+
"learning_rate": 7.301016441435013e-06,
|
| 466 |
+
"loss": 0.0,
|
| 467 |
+
"step": 5900
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"epoch": 3.0,
|
| 471 |
+
"grad_norm": 0.6168579459190369,
|
| 472 |
+
"learning_rate": 7.249239855083442e-06,
|
| 473 |
+
"loss": 0.0,
|
| 474 |
+
"step": 6000
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"epoch": 3.0,
|
| 478 |
+
"eval_economic_inequality_accuracy": 0.818639798488665,
|
| 479 |
+
"eval_economic_inequality_f1": 0.8128041981528128,
|
| 480 |
+
"eval_economic_policy_benefits_accuracy": 0.8686868686868687,
|
| 481 |
+
"eval_economic_policy_benefits_f1": 0.849679269639744,
|
| 482 |
+
"eval_ethnic_boundaries_accuracy": 0.9379084967320261,
|
| 483 |
+
"eval_ethnic_boundaries_f1": 0.9377319200237987,
|
| 484 |
+
"eval_language_policy_accuracy": 0.6470588235294118,
|
| 485 |
+
"eval_language_policy_f1": 0.5673202614379085,
|
| 486 |
+
"eval_loss": NaN,
|
| 487 |
+
"eval_mother_tongue_education_accuracy": 0.7777777777777778,
|
| 488 |
+
"eval_mother_tongue_education_f1": 0.7407407407407408,
|
| 489 |
+
"eval_overall_accuracy": 0.8181454231515234,
|
| 490 |
+
"eval_overall_f1": 0.794560338168735,
|
| 491 |
+
"eval_religion_ethnic_identity_accuracy": 0.8588007736943907,
|
| 492 |
+
"eval_religion_ethnic_identity_f1": 0.8590856390174055,
|
| 493 |
+
"eval_runtime": 4.4722,
|
| 494 |
+
"eval_samples_per_second": 894.406,
|
| 495 |
+
"eval_steps_per_second": 55.9,
|
| 496 |
+
"step": 6000
|
| 497 |
+
},
|
| 498 |
+
{
|
| 499 |
+
"epoch": 3.05,
|
| 500 |
+
"grad_norm": 0.06797665357589722,
|
| 501 |
+
"learning_rate": 7.197463268731871e-06,
|
| 502 |
+
"loss": 0.0,
|
| 503 |
+
"step": 6100
|
| 504 |
+
},
|
| 505 |
+
{
|
| 506 |
+
"epoch": 3.1,
|
| 507 |
+
"grad_norm": 0.05142182484269142,
|
| 508 |
+
"learning_rate": 7.145686682380301e-06,
|
| 509 |
+
"loss": 0.0002,
|
| 510 |
+
"step": 6200
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"epoch": 3.15,
|
| 514 |
+
"grad_norm": 0.04868694022297859,
|
| 515 |
+
"learning_rate": 7.09391009602873e-06,
|
| 516 |
+
"loss": 0.0,
|
| 517 |
+
"step": 6300
|
| 518 |
+
},
|
| 519 |
+
{
|
| 520 |
+
"epoch": 3.2,
|
| 521 |
+
"grad_norm": 0.026197949424386024,
|
| 522 |
+
"learning_rate": 7.042133509677158e-06,
|
| 523 |
+
"loss": 0.0005,
|
| 524 |
+
"step": 6400
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 3.25,
|
| 528 |
+
"grad_norm": 12.894441604614258,
|
| 529 |
+
"learning_rate": 6.990356923325587e-06,
|
| 530 |
+
"loss": 0.0,
|
| 531 |
+
"step": 6500
|
| 532 |
+
},
|
| 533 |
+
{
|
| 534 |
+
"epoch": 3.3,
|
| 535 |
+
"grad_norm": 4.21354341506958,
|
| 536 |
+
"learning_rate": 6.938580336974017e-06,
|
| 537 |
+
"loss": 0.0,
|
| 538 |
+
"step": 6600
|
| 539 |
+
},
|
| 540 |
+
{
|
| 541 |
+
"epoch": 3.35,
|
| 542 |
+
"grad_norm": 0.0193119365721941,
|
| 543 |
+
"learning_rate": 6.886803750622446e-06,
|
| 544 |
+
"loss": 0.0,
|
| 545 |
+
"step": 6700
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 3.4,
|
| 549 |
+
"grad_norm": 0.07511546462774277,
|
| 550 |
+
"learning_rate": 6.835027164270875e-06,
|
| 551 |
+
"loss": 0.0,
|
| 552 |
+
"step": 6800
|
| 553 |
+
},
|
| 554 |
+
{
|
| 555 |
+
"epoch": 3.45,
|
| 556 |
+
"grad_norm": 0.9280033111572266,
|
| 557 |
+
"learning_rate": 6.783250577919304e-06,
|
| 558 |
+
"loss": 0.0003,
|
| 559 |
+
"step": 6900
|
| 560 |
+
},
|
| 561 |
+
{
|
| 562 |
+
"epoch": 3.5,
|
| 563 |
+
"grad_norm": 108.68927001953125,
|
| 564 |
+
"learning_rate": 6.731473991567734e-06,
|
| 565 |
+
"loss": 0.0,
|
| 566 |
+
"step": 7000
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 3.55,
|
| 570 |
+
"grad_norm": 4.475680828094482,
|
| 571 |
+
"learning_rate": 6.679697405216162e-06,
|
| 572 |
+
"loss": 0.0,
|
| 573 |
+
"step": 7100
|
| 574 |
+
},
|
| 575 |
+
{
|
| 576 |
+
"epoch": 3.6,
|
| 577 |
+
"grad_norm": 0.040891651064157486,
|
| 578 |
+
"learning_rate": 6.6279208188645915e-06,
|
| 579 |
+
"loss": 0.0,
|
| 580 |
+
"step": 7200
|
| 581 |
+
},
|
| 582 |
+
{
|
| 583 |
+
"epoch": 3.65,
|
| 584 |
+
"grad_norm": 0.032305650413036346,
|
| 585 |
+
"learning_rate": 6.576144232513021e-06,
|
| 586 |
+
"loss": 0.0,
|
| 587 |
+
"step": 7300
|
| 588 |
+
},
|
| 589 |
+
{
|
| 590 |
+
"epoch": 3.7,
|
| 591 |
+
"grad_norm": 0.027986843138933182,
|
| 592 |
+
"learning_rate": 6.524367646161449e-06,
|
| 593 |
+
"loss": 0.0002,
|
| 594 |
+
"step": 7400
|
| 595 |
+
},
|
| 596 |
+
{
|
| 597 |
+
"epoch": 3.75,
|
| 598 |
+
"grad_norm": 0.023173924535512924,
|
| 599 |
+
"learning_rate": 6.472591059809879e-06,
|
| 600 |
+
"loss": 0.0,
|
| 601 |
+
"step": 7500
|
| 602 |
+
},
|
| 603 |
+
{
|
| 604 |
+
"epoch": 3.8,
|
| 605 |
+
"grad_norm": 0.10551729053258896,
|
| 606 |
+
"learning_rate": 6.420814473458308e-06,
|
| 607 |
+
"loss": 0.0,
|
| 608 |
+
"step": 7600
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 3.85,
|
| 612 |
+
"grad_norm": 4.631871223449707,
|
| 613 |
+
"learning_rate": 6.3690378871067366e-06,
|
| 614 |
+
"loss": 0.0,
|
| 615 |
+
"step": 7700
|
| 616 |
+
},
|
| 617 |
+
{
|
| 618 |
+
"epoch": 3.9,
|
| 619 |
+
"grad_norm": 0.09392645955085754,
|
| 620 |
+
"learning_rate": 6.317261300755166e-06,
|
| 621 |
+
"loss": 0.0,
|
| 622 |
+
"step": 7800
|
| 623 |
+
},
|
| 624 |
+
{
|
| 625 |
+
"epoch": 3.95,
|
| 626 |
+
"grad_norm": 0.32573947310447693,
|
| 627 |
+
"learning_rate": 6.265484714403596e-06,
|
| 628 |
+
"loss": 0.0,
|
| 629 |
+
"step": 7900
|
| 630 |
+
},
|
| 631 |
+
{
|
| 632 |
+
"epoch": 4.0,
|
| 633 |
+
"grad_norm": 0.012679875828325748,
|
| 634 |
+
"learning_rate": 6.213708128052024e-06,
|
| 635 |
+
"loss": 0.0,
|
| 636 |
+
"step": 8000
|
| 637 |
+
},
|
| 638 |
+
{
|
| 639 |
+
"epoch": 4.0,
|
| 640 |
+
"eval_economic_inequality_accuracy": 0.809823677581864,
|
| 641 |
+
"eval_economic_inequality_f1": 0.8053367188692558,
|
| 642 |
+
"eval_economic_policy_benefits_accuracy": 0.8451178451178452,
|
| 643 |
+
"eval_economic_policy_benefits_f1": 0.8262377279238239,
|
| 644 |
+
"eval_ethnic_boundaries_accuracy": 0.9379084967320261,
|
| 645 |
+
"eval_ethnic_boundaries_f1": 0.9368969810146281,
|
| 646 |
+
"eval_language_policy_accuracy": 0.7058823529411765,
|
| 647 |
+
"eval_language_policy_f1": 0.6071428571428571,
|
| 648 |
+
"eval_loss": NaN,
|
| 649 |
+
"eval_mother_tongue_education_accuracy": 0.8888888888888888,
|
| 650 |
+
"eval_mother_tongue_education_f1": 0.837037037037037,
|
| 651 |
+
"eval_overall_accuracy": 0.8436493204617509,
|
| 652 |
+
"eval_overall_f1": 0.8135939571355589,
|
| 653 |
+
"eval_religion_ethnic_identity_accuracy": 0.874274661508704,
|
| 654 |
+
"eval_religion_ethnic_identity_f1": 0.8689124208257524,
|
| 655 |
+
"eval_runtime": 4.4538,
|
| 656 |
+
"eval_samples_per_second": 898.1,
|
| 657 |
+
"eval_steps_per_second": 56.131,
|
| 658 |
+
"step": 8000
|
| 659 |
+
},
|
| 660 |
+
{
|
| 661 |
+
"epoch": 4.05,
|
| 662 |
+
"grad_norm": 0.08179322630167007,
|
| 663 |
+
"learning_rate": 6.161931541700453e-06,
|
| 664 |
+
"loss": 0.0,
|
| 665 |
+
"step": 8100
|
| 666 |
+
},
|
| 667 |
+
{
|
| 668 |
+
"epoch": 4.1,
|
| 669 |
+
"grad_norm": 1.8278212547302246,
|
| 670 |
+
"learning_rate": 6.1101549553488824e-06,
|
| 671 |
+
"loss": 0.0,
|
| 672 |
+
"step": 8200
|
| 673 |
+
},
|
| 674 |
+
{
|
| 675 |
+
"epoch": 4.15,
|
| 676 |
+
"grad_norm": 0.9412699341773987,
|
| 677 |
+
"learning_rate": 6.058378368997311e-06,
|
| 678 |
+
"loss": 0.0,
|
| 679 |
+
"step": 8300
|
| 680 |
+
},
|
| 681 |
+
{
|
| 682 |
+
"epoch": 4.2,
|
| 683 |
+
"grad_norm": 0.3116857707500458,
|
| 684 |
+
"learning_rate": 6.006601782645741e-06,
|
| 685 |
+
"loss": 0.0,
|
| 686 |
+
"step": 8400
|
| 687 |
+
},
|
| 688 |
+
{
|
| 689 |
+
"epoch": 4.25,
|
| 690 |
+
"grad_norm": 0.04464244097471237,
|
| 691 |
+
"learning_rate": 5.95482519629417e-06,
|
| 692 |
+
"loss": 0.0,
|
| 693 |
+
"step": 8500
|
| 694 |
+
},
|
| 695 |
+
{
|
| 696 |
+
"epoch": 4.3,
|
| 697 |
+
"grad_norm": 0.0,
|
| 698 |
+
"learning_rate": 5.903048609942598e-06,
|
| 699 |
+
"loss": 0.0,
|
| 700 |
+
"step": 8600
|
| 701 |
+
},
|
| 702 |
+
{
|
| 703 |
+
"epoch": 4.35,
|
| 704 |
+
"grad_norm": 0.011906923726201057,
|
| 705 |
+
"learning_rate": 5.8512720235910274e-06,
|
| 706 |
+
"loss": 0.0,
|
| 707 |
+
"step": 8700
|
| 708 |
+
},
|
| 709 |
+
{
|
| 710 |
+
"epoch": 4.4,
|
| 711 |
+
"grad_norm": 0.022279787808656693,
|
| 712 |
+
"learning_rate": 5.7994954372394575e-06,
|
| 713 |
+
"loss": 0.0002,
|
| 714 |
+
"step": 8800
|
| 715 |
+
},
|
| 716 |
+
{
|
| 717 |
+
"epoch": 4.45,
|
| 718 |
+
"grad_norm": 0.07576213777065277,
|
| 719 |
+
"learning_rate": 5.747718850887886e-06,
|
| 720 |
+
"loss": 0.0001,
|
| 721 |
+
"step": 8900
|
| 722 |
+
},
|
| 723 |
+
{
|
| 724 |
+
"epoch": 4.5,
|
| 725 |
+
"grad_norm": 0.02016213722527027,
|
| 726 |
+
"learning_rate": 5.695942264536315e-06,
|
| 727 |
+
"loss": 0.0,
|
| 728 |
+
"step": 9000
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 4.55,
|
| 732 |
+
"grad_norm": 0.07930700480937958,
|
| 733 |
+
"learning_rate": 5.644165678184744e-06,
|
| 734 |
+
"loss": 0.0,
|
| 735 |
+
"step": 9100
|
| 736 |
+
},
|
| 737 |
+
{
|
| 738 |
+
"epoch": 4.6,
|
| 739 |
+
"grad_norm": 0.016734231263399124,
|
| 740 |
+
"learning_rate": 5.592389091833174e-06,
|
| 741 |
+
"loss": 0.0,
|
| 742 |
+
"step": 9200
|
| 743 |
+
},
|
| 744 |
+
{
|
| 745 |
+
"epoch": 4.65,
|
| 746 |
+
"grad_norm": 0.2023557871580124,
|
| 747 |
+
"learning_rate": 5.5406125054816025e-06,
|
| 748 |
+
"loss": 0.0,
|
| 749 |
+
"step": 9300
|
| 750 |
+
},
|
| 751 |
+
{
|
| 752 |
+
"epoch": 4.7,
|
| 753 |
+
"grad_norm": 0.03384646028280258,
|
| 754 |
+
"learning_rate": 5.488835919130032e-06,
|
| 755 |
+
"loss": 0.0,
|
| 756 |
+
"step": 9400
|
| 757 |
+
},
|
| 758 |
+
{
|
| 759 |
+
"epoch": 4.75,
|
| 760 |
+
"grad_norm": 0.04355572536587715,
|
| 761 |
+
"learning_rate": 5.437059332778461e-06,
|
| 762 |
+
"loss": 0.0001,
|
| 763 |
+
"step": 9500
|
| 764 |
+
},
|
| 765 |
+
{
|
| 766 |
+
"epoch": 4.8,
|
| 767 |
+
"grad_norm": 0.02533441036939621,
|
| 768 |
+
"learning_rate": 5.385282746426889e-06,
|
| 769 |
+
"loss": 0.0001,
|
| 770 |
+
"step": 9600
|
| 771 |
+
},
|
| 772 |
+
{
|
| 773 |
+
"epoch": 4.85,
|
| 774 |
+
"grad_norm": 0.10049561411142349,
|
| 775 |
+
"learning_rate": 5.333506160075319e-06,
|
| 776 |
+
"loss": 0.0,
|
| 777 |
+
"step": 9700
|
| 778 |
+
},
|
| 779 |
+
{
|
| 780 |
+
"epoch": 4.9,
|
| 781 |
+
"grad_norm": 0.018155105412006378,
|
| 782 |
+
"learning_rate": 5.281729573723748e-06,
|
| 783 |
+
"loss": 0.0,
|
| 784 |
+
"step": 9800
|
| 785 |
+
},
|
| 786 |
+
{
|
| 787 |
+
"epoch": 4.95,
|
| 788 |
+
"grad_norm": 0.00853881984949112,
|
| 789 |
+
"learning_rate": 5.229952987372177e-06,
|
| 790 |
+
"loss": 0.0,
|
| 791 |
+
"step": 9900
|
| 792 |
+
},
|
| 793 |
+
{
|
| 794 |
+
"epoch": 5.0,
|
| 795 |
+
"grad_norm": 0.17767295241355896,
|
| 796 |
+
"learning_rate": 5.178176401020606e-06,
|
| 797 |
+
"loss": 0.0,
|
| 798 |
+
"step": 10000
|
| 799 |
+
},
|
| 800 |
+
{
|
| 801 |
+
"epoch": 5.0,
|
| 802 |
+
"eval_economic_inequality_accuracy": 0.8261964735516373,
|
| 803 |
+
"eval_economic_inequality_f1": 0.8121087395907841,
|
| 804 |
+
"eval_economic_policy_benefits_accuracy": 0.8653198653198653,
|
| 805 |
+
"eval_economic_policy_benefits_f1": 0.8471939977021603,
|
| 806 |
+
"eval_ethnic_boundaries_accuracy": 0.9362745098039216,
|
| 807 |
+
"eval_ethnic_boundaries_f1": 0.9365673542144131,
|
| 808 |
+
"eval_language_policy_accuracy": 0.7352941176470589,
|
| 809 |
+
"eval_language_policy_f1": 0.6572786690433748,
|
| 810 |
+
"eval_loss": NaN,
|
| 811 |
+
"eval_mother_tongue_education_accuracy": 0.8888888888888888,
|
| 812 |
+
"eval_mother_tongue_education_f1": 0.837037037037037,
|
| 813 |
+
"eval_overall_accuracy": 0.8553418707750738,
|
| 814 |
+
"eval_overall_f1": 0.8275137305036369,
|
| 815 |
+
"eval_religion_ethnic_identity_accuracy": 0.8800773694390716,
|
| 816 |
+
"eval_religion_ethnic_identity_f1": 0.874896585434052,
|
| 817 |
+
"eval_runtime": 4.4693,
|
| 818 |
+
"eval_samples_per_second": 895.0,
|
| 819 |
+
"eval_steps_per_second": 55.937,
|
| 820 |
+
"step": 10000
|
| 821 |
+
}
|
| 822 |
+
],
|
| 823 |
+
"logging_steps": 100,
|
| 824 |
+
"max_steps": 20000,
|
| 825 |
+
"num_input_tokens_seen": 0,
|
| 826 |
+
"num_train_epochs": 10,
|
| 827 |
+
"save_steps": 500,
|
| 828 |
+
"stateful_callbacks": {
|
| 829 |
+
"EarlyStoppingCallback": {
|
| 830 |
+
"args": {
|
| 831 |
+
"early_stopping_patience": 2,
|
| 832 |
+
"early_stopping_threshold": 0.0
|
| 833 |
+
},
|
| 834 |
+
"attributes": {
|
| 835 |
+
"early_stopping_patience_counter": 0
|
| 836 |
+
}
|
| 837 |
+
},
|
| 838 |
+
"TrainerControl": {
|
| 839 |
+
"args": {
|
| 840 |
+
"should_epoch_stop": false,
|
| 841 |
+
"should_evaluate": false,
|
| 842 |
+
"should_log": false,
|
| 843 |
+
"should_save": true,
|
| 844 |
+
"should_training_stop": false
|
| 845 |
+
},
|
| 846 |
+
"attributes": {}
|
| 847 |
+
}
|
| 848 |
+
},
|
| 849 |
+
"total_flos": 2.105190825984e+16,
|
| 850 |
+
"train_batch_size": 8,
|
| 851 |
+
"trial_name": null,
|
| 852 |
+
"trial_params": {
|
| 853 |
+
"gradient_accumulation_steps": 1,
|
| 854 |
+
"learning_rate": 1.0001165419669436e-05,
|
| 855 |
+
"num_train_epochs": 10,
|
| 856 |
+
"per_device_train_batch_size": 8,
|
| 857 |
+
"warmup_steps": 684,
|
| 858 |
+
"weight_decay": 0.07522641729243515
|
| 859 |
+
}
|
| 860 |
+
}
|
run-0/checkpoint-10000/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:84f9f98f39dc377d902877813dc8cf2a83bc674db97d85b5237e673a48a7375f
|
| 3 |
+
size 5777
|
run-0/checkpoint-12000/config.json
ADDED
|
@@ -0,0 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"BertForSequenceClassification"
|
| 4 |
+
],
|
| 5 |
+
"attention_probs_dropout_prob": 0.1,
|
| 6 |
+
"classifier_dropout": null,
|
| 7 |
+
"gradient_checkpointing": false,
|
| 8 |
+
"hidden_act": "gelu",
|
| 9 |
+
"hidden_dropout_prob": 0.1,
|
| 10 |
+
"hidden_size": 768,
|
| 11 |
+
"id2label": {
|
| 12 |
+
"0": "LABEL_0",
|
| 13 |
+
"1": "LABEL_1",
|
| 14 |
+
"2": "LABEL_2",
|
| 15 |
+
"3": "LABEL_3",
|
| 16 |
+
"4": "LABEL_4",
|
| 17 |
+
"5": "LABEL_5",
|
| 18 |
+
"6": "LABEL_6",
|
| 19 |
+
"7": "LABEL_7",
|
| 20 |
+
"8": "LABEL_8",
|
| 21 |
+
"9": "LABEL_9",
|
| 22 |
+
"10": "LABEL_10",
|
| 23 |
+
"11": "LABEL_11",
|
| 24 |
+
"12": "LABEL_12",
|
| 25 |
+
"13": "LABEL_13",
|
| 26 |
+
"14": "LABEL_14",
|
| 27 |
+
"15": "LABEL_15",
|
| 28 |
+
"16": "LABEL_16",
|
| 29 |
+
"17": "LABEL_17"
|
| 30 |
+
},
|
| 31 |
+
"initializer_range": 0.02,
|
| 32 |
+
"intermediate_size": 3072,
|
| 33 |
+
"label2id": {
|
| 34 |
+
"LABEL_0": 0,
|
| 35 |
+
"LABEL_1": 1,
|
| 36 |
+
"LABEL_10": 10,
|
| 37 |
+
"LABEL_11": 11,
|
| 38 |
+
"LABEL_12": 12,
|
| 39 |
+
"LABEL_13": 13,
|
| 40 |
+
"LABEL_14": 14,
|
| 41 |
+
"LABEL_15": 15,
|
| 42 |
+
"LABEL_16": 16,
|
| 43 |
+
"LABEL_17": 17,
|
| 44 |
+
"LABEL_2": 2,
|
| 45 |
+
"LABEL_3": 3,
|
| 46 |
+
"LABEL_4": 4,
|
| 47 |
+
"LABEL_5": 5,
|
| 48 |
+
"LABEL_6": 6,
|
| 49 |
+
"LABEL_7": 7,
|
| 50 |
+
"LABEL_8": 8,
|
| 51 |
+
"LABEL_9": 9
|
| 52 |
+
},
|
| 53 |
+
"layer_norm_eps": 1e-12,
|
| 54 |
+
"max_position_embeddings": 512,
|
| 55 |
+
"model_type": "bert",
|
| 56 |
+
"num_attention_heads": 12,
|
| 57 |
+
"num_hidden_layers": 12,
|
| 58 |
+
"pad_token_id": 0,
|
| 59 |
+
"position_embedding_type": "absolute",
|
| 60 |
+
"torch_dtype": "float32",
|
| 61 |
+
"transformers_version": "4.55.4",
|
| 62 |
+
"type_vocab_size": 2,
|
| 63 |
+
"use_cache": true,
|
| 64 |
+
"vocab_size": 30522
|
| 65 |
+
}
|
run-0/checkpoint-12000/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:94a4a57c7f1cb49dfe1fc1b00ee456e5c9e16c12f98099c7ca193f50b949cf3f
|
| 3 |
+
size 438007864
|
run-0/checkpoint-12000/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:57efb67745f4bd99aafc8419baf3527b83afde857db0e88e20a0a8c37fdb2ee7
|
| 3 |
+
size 876140043
|
run-0/checkpoint-12000/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d2dbc29a654aed70f4abb08c5f8c7a5f58694eaa11f2aefeeb4616e106c8e946
|
| 3 |
+
size 14645
|
run-0/checkpoint-12000/scaler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4345c828504adc5fe4702cd2d2c30ee92faca47578d08c67b12a03686fc460df
|
| 3 |
+
size 1383
|
run-0/checkpoint-12000/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:649a95413e387689b0adfc7b62407f5781fb7473c373f6c6aadd6eafeafd5b3e
|
| 3 |
+
size 1465
|
run-0/checkpoint-12000/trainer_state.json
ADDED
|
@@ -0,0 +1,1022 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 10000,
|
| 3 |
+
"best_metric": 0.8275137305036369,
|
| 4 |
+
"best_model_checkpoint": "./results/run-0/checkpoint-10000",
|
| 5 |
+
"epoch": 6.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 12000,
|
| 8 |
+
"is_hyper_param_search": true,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.05,
|
| 14 |
+
"grad_norm": 2.039576768875122,
|
| 15 |
+
"learning_rate": 1.447537100215313e-06,
|
| 16 |
+
"loss": 0.0,
|
| 17 |
+
"step": 100
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.1,
|
| 21 |
+
"grad_norm": 4.460484504699707,
|
| 22 |
+
"learning_rate": 2.9096957873014878e-06,
|
| 23 |
+
"loss": 0.0821,
|
| 24 |
+
"step": 200
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.15,
|
| 28 |
+
"grad_norm": 26.84711456298828,
|
| 29 |
+
"learning_rate": 4.371854474387663e-06,
|
| 30 |
+
"loss": 0.0519,
|
| 31 |
+
"step": 300
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.2,
|
| 35 |
+
"grad_norm": 0.6646966934204102,
|
| 36 |
+
"learning_rate": 5.834013161473838e-06,
|
| 37 |
+
"loss": 0.0,
|
| 38 |
+
"step": 400
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.25,
|
| 42 |
+
"grad_norm": 1.8385223150253296,
|
| 43 |
+
"learning_rate": 7.296171848560012e-06,
|
| 44 |
+
"loss": 0.0,
|
| 45 |
+
"step": 500
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.3,
|
| 49 |
+
"grad_norm": 0.9234638810157776,
|
| 50 |
+
"learning_rate": 8.758330535646188e-06,
|
| 51 |
+
"loss": 0.0,
|
| 52 |
+
"step": 600
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.35,
|
| 56 |
+
"grad_norm": 38.24382400512695,
|
| 57 |
+
"learning_rate": 9.9933989317167e-06,
|
| 58 |
+
"loss": 0.0,
|
| 59 |
+
"step": 700
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.4,
|
| 63 |
+
"grad_norm": 42.83884811401367,
|
| 64 |
+
"learning_rate": 9.94162234536513e-06,
|
| 65 |
+
"loss": 0.0,
|
| 66 |
+
"step": 800
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.45,
|
| 70 |
+
"grad_norm": 0.8020399808883667,
|
| 71 |
+
"learning_rate": 9.889845759013559e-06,
|
| 72 |
+
"loss": 0.0,
|
| 73 |
+
"step": 900
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.5,
|
| 77 |
+
"grad_norm": 0.86091148853302,
|
| 78 |
+
"learning_rate": 9.838069172661988e-06,
|
| 79 |
+
"loss": 0.0,
|
| 80 |
+
"step": 1000
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.55,
|
| 84 |
+
"grad_norm": 0.16439934074878693,
|
| 85 |
+
"learning_rate": 9.786292586310415e-06,
|
| 86 |
+
"loss": 0.0,
|
| 87 |
+
"step": 1100
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.6,
|
| 91 |
+
"grad_norm": 2.752115488052368,
|
| 92 |
+
"learning_rate": 9.734515999958846e-06,
|
| 93 |
+
"loss": 0.0,
|
| 94 |
+
"step": 1200
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.65,
|
| 98 |
+
"grad_norm": 1.5777802467346191,
|
| 99 |
+
"learning_rate": 9.682739413607275e-06,
|
| 100 |
+
"loss": 0.0,
|
| 101 |
+
"step": 1300
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.7,
|
| 105 |
+
"grad_norm": 5.708035945892334,
|
| 106 |
+
"learning_rate": 9.630962827255703e-06,
|
| 107 |
+
"loss": 0.0598,
|
| 108 |
+
"step": 1400
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.75,
|
| 112 |
+
"grad_norm": 0.3160113990306854,
|
| 113 |
+
"learning_rate": 9.579186240904132e-06,
|
| 114 |
+
"loss": 0.0441,
|
| 115 |
+
"step": 1500
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.8,
|
| 119 |
+
"grad_norm": 1.2273201942443848,
|
| 120 |
+
"learning_rate": 9.527409654552563e-06,
|
| 121 |
+
"loss": 0.0,
|
| 122 |
+
"step": 1600
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.85,
|
| 126 |
+
"grad_norm": 29.215551376342773,
|
| 127 |
+
"learning_rate": 9.47563306820099e-06,
|
| 128 |
+
"loss": 0.0,
|
| 129 |
+
"step": 1700
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.9,
|
| 133 |
+
"grad_norm": 0.18806450068950653,
|
| 134 |
+
"learning_rate": 9.42385648184942e-06,
|
| 135 |
+
"loss": 0.0,
|
| 136 |
+
"step": 1800
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.95,
|
| 140 |
+
"grad_norm": 0.41723617911338806,
|
| 141 |
+
"learning_rate": 9.372079895497849e-06,
|
| 142 |
+
"loss": 0.0183,
|
| 143 |
+
"step": 1900
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 1.0,
|
| 147 |
+
"grad_norm": 1.9550623893737793,
|
| 148 |
+
"learning_rate": 9.32030330914628e-06,
|
| 149 |
+
"loss": 0.0,
|
| 150 |
+
"step": 2000
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 1.0,
|
| 154 |
+
"eval_economic_inequality_accuracy": 0.8047858942065491,
|
| 155 |
+
"eval_economic_inequality_f1": 0.7536914695213144,
|
| 156 |
+
"eval_economic_policy_benefits_accuracy": 0.8282828282828283,
|
| 157 |
+
"eval_economic_policy_benefits_f1": 0.7567090529234769,
|
| 158 |
+
"eval_ethnic_boundaries_accuracy": 0.9526143790849673,
|
| 159 |
+
"eval_ethnic_boundaries_f1": 0.9344984933861545,
|
| 160 |
+
"eval_language_policy_accuracy": 0.7058823529411765,
|
| 161 |
+
"eval_language_policy_f1": 0.6071428571428571,
|
| 162 |
+
"eval_loss": NaN,
|
| 163 |
+
"eval_mother_tongue_education_accuracy": 0.8888888888888888,
|
| 164 |
+
"eval_mother_tongue_education_f1": 0.837037037037037,
|
| 165 |
+
"eval_overall_accuracy": 0.8392311075242039,
|
| 166 |
+
"eval_overall_f1": 0.782435168791527,
|
| 167 |
+
"eval_religion_ethnic_identity_accuracy": 0.8549323017408124,
|
| 168 |
+
"eval_religion_ethnic_identity_f1": 0.8055321027383222,
|
| 169 |
+
"eval_runtime": 4.4874,
|
| 170 |
+
"eval_samples_per_second": 891.378,
|
| 171 |
+
"eval_steps_per_second": 55.711,
|
| 172 |
+
"step": 2000
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"epoch": 1.05,
|
| 176 |
+
"grad_norm": 2.762986183166504,
|
| 177 |
+
"learning_rate": 9.268526722794707e-06,
|
| 178 |
+
"loss": 0.0,
|
| 179 |
+
"step": 2100
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 1.1,
|
| 183 |
+
"grad_norm": 0.5487369298934937,
|
| 184 |
+
"learning_rate": 9.216750136443136e-06,
|
| 185 |
+
"loss": 0.0,
|
| 186 |
+
"step": 2200
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 1.15,
|
| 190 |
+
"grad_norm": 4.76751184463501,
|
| 191 |
+
"learning_rate": 9.164973550091565e-06,
|
| 192 |
+
"loss": 0.0102,
|
| 193 |
+
"step": 2300
|
| 194 |
+
},
|
| 195 |
+
{
|
| 196 |
+
"epoch": 1.2,
|
| 197 |
+
"grad_norm": 2.681756019592285,
|
| 198 |
+
"learning_rate": 9.113196963739995e-06,
|
| 199 |
+
"loss": 0.0,
|
| 200 |
+
"step": 2400
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 1.25,
|
| 204 |
+
"grad_norm": 0.24124185740947723,
|
| 205 |
+
"learning_rate": 9.061420377388424e-06,
|
| 206 |
+
"loss": 0.0,
|
| 207 |
+
"step": 2500
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 1.3,
|
| 211 |
+
"grad_norm": 1.943154215812683,
|
| 212 |
+
"learning_rate": 9.009643791036853e-06,
|
| 213 |
+
"loss": 0.0,
|
| 214 |
+
"step": 2600
|
| 215 |
+
},
|
| 216 |
+
{
|
| 217 |
+
"epoch": 1.35,
|
| 218 |
+
"grad_norm": 0.28053101897239685,
|
| 219 |
+
"learning_rate": 8.957867204685282e-06,
|
| 220 |
+
"loss": 0.0347,
|
| 221 |
+
"step": 2700
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 1.4,
|
| 225 |
+
"grad_norm": 1.7952568531036377,
|
| 226 |
+
"learning_rate": 8.906090618333711e-06,
|
| 227 |
+
"loss": 0.4436,
|
| 228 |
+
"step": 2800
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"epoch": 1.45,
|
| 232 |
+
"grad_norm": 3.859933614730835,
|
| 233 |
+
"learning_rate": 8.85431403198214e-06,
|
| 234 |
+
"loss": 0.0,
|
| 235 |
+
"step": 2900
|
| 236 |
+
},
|
| 237 |
+
{
|
| 238 |
+
"epoch": 1.5,
|
| 239 |
+
"grad_norm": 1.094464898109436,
|
| 240 |
+
"learning_rate": 8.80253744563057e-06,
|
| 241 |
+
"loss": 0.0,
|
| 242 |
+
"step": 3000
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 1.55,
|
| 246 |
+
"grad_norm": 0.5670285820960999,
|
| 247 |
+
"learning_rate": 8.750760859278999e-06,
|
| 248 |
+
"loss": 0.0,
|
| 249 |
+
"step": 3100
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 1.6,
|
| 253 |
+
"grad_norm": 2.8412418365478516,
|
| 254 |
+
"learning_rate": 8.698984272927428e-06,
|
| 255 |
+
"loss": 0.0,
|
| 256 |
+
"step": 3200
|
| 257 |
+
},
|
| 258 |
+
{
|
| 259 |
+
"epoch": 1.65,
|
| 260 |
+
"grad_norm": 65.82475280761719,
|
| 261 |
+
"learning_rate": 8.647207686575855e-06,
|
| 262 |
+
"loss": 0.0,
|
| 263 |
+
"step": 3300
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 1.7,
|
| 267 |
+
"grad_norm": 8.976615905761719,
|
| 268 |
+
"learning_rate": 8.595431100224286e-06,
|
| 269 |
+
"loss": 0.0048,
|
| 270 |
+
"step": 3400
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"epoch": 1.75,
|
| 274 |
+
"grad_norm": 126.71548461914062,
|
| 275 |
+
"learning_rate": 8.543654513872716e-06,
|
| 276 |
+
"loss": 0.0,
|
| 277 |
+
"step": 3500
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"epoch": 1.8,
|
| 281 |
+
"grad_norm": 0.595015823841095,
|
| 282 |
+
"learning_rate": 8.491877927521143e-06,
|
| 283 |
+
"loss": 0.0033,
|
| 284 |
+
"step": 3600
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 1.85,
|
| 288 |
+
"grad_norm": 3.98215651512146,
|
| 289 |
+
"learning_rate": 8.440101341169572e-06,
|
| 290 |
+
"loss": 0.1482,
|
| 291 |
+
"step": 3700
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 1.9,
|
| 295 |
+
"grad_norm": 3.0417540073394775,
|
| 296 |
+
"learning_rate": 8.388324754818003e-06,
|
| 297 |
+
"loss": 0.0031,
|
| 298 |
+
"step": 3800
|
| 299 |
+
},
|
| 300 |
+
{
|
| 301 |
+
"epoch": 1.95,
|
| 302 |
+
"grad_norm": 27.85649299621582,
|
| 303 |
+
"learning_rate": 8.33654816846643e-06,
|
| 304 |
+
"loss": 0.0589,
|
| 305 |
+
"step": 3900
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"epoch": 2.0,
|
| 309 |
+
"grad_norm": 2.3094232082366943,
|
| 310 |
+
"learning_rate": 8.28477158211486e-06,
|
| 311 |
+
"loss": 0.0,
|
| 312 |
+
"step": 4000
|
| 313 |
+
},
|
| 314 |
+
{
|
| 315 |
+
"epoch": 2.0,
|
| 316 |
+
"eval_economic_inequality_accuracy": 0.8236775818639799,
|
| 317 |
+
"eval_economic_inequality_f1": 0.8161521311449569,
|
| 318 |
+
"eval_economic_policy_benefits_accuracy": 0.835016835016835,
|
| 319 |
+
"eval_economic_policy_benefits_f1": 0.81117677081242,
|
| 320 |
+
"eval_ethnic_boundaries_accuracy": 0.9477124183006536,
|
| 321 |
+
"eval_ethnic_boundaries_f1": 0.9421262334088456,
|
| 322 |
+
"eval_language_policy_accuracy": 0.7058823529411765,
|
| 323 |
+
"eval_language_policy_f1": 0.6071428571428571,
|
| 324 |
+
"eval_loss": NaN,
|
| 325 |
+
"eval_mother_tongue_education_accuracy": 0.7777777777777778,
|
| 326 |
+
"eval_mother_tongue_education_f1": 0.7407407407407408,
|
| 327 |
+
"eval_overall_accuracy": 0.8277126438976526,
|
| 328 |
+
"eval_overall_f1": 0.7960173130694123,
|
| 329 |
+
"eval_religion_ethnic_identity_accuracy": 0.8762088974854932,
|
| 330 |
+
"eval_religion_ethnic_identity_f1": 0.8587651451666537,
|
| 331 |
+
"eval_runtime": 4.4654,
|
| 332 |
+
"eval_samples_per_second": 895.775,
|
| 333 |
+
"eval_steps_per_second": 55.986,
|
| 334 |
+
"step": 4000
|
| 335 |
+
},
|
| 336 |
+
{
|
| 337 |
+
"epoch": 2.05,
|
| 338 |
+
"grad_norm": 8.547677040100098,
|
| 339 |
+
"learning_rate": 8.232994995763289e-06,
|
| 340 |
+
"loss": 0.0,
|
| 341 |
+
"step": 4100
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"epoch": 2.1,
|
| 345 |
+
"grad_norm": 117.06266784667969,
|
| 346 |
+
"learning_rate": 8.181218409411718e-06,
|
| 347 |
+
"loss": 0.0,
|
| 348 |
+
"step": 4200
|
| 349 |
+
},
|
| 350 |
+
{
|
| 351 |
+
"epoch": 2.15,
|
| 352 |
+
"grad_norm": 0.19274334609508514,
|
| 353 |
+
"learning_rate": 8.129441823060147e-06,
|
| 354 |
+
"loss": 0.0,
|
| 355 |
+
"step": 4300
|
| 356 |
+
},
|
| 357 |
+
{
|
| 358 |
+
"epoch": 2.2,
|
| 359 |
+
"grad_norm": 1.0360257625579834,
|
| 360 |
+
"learning_rate": 8.077665236708576e-06,
|
| 361 |
+
"loss": 0.0,
|
| 362 |
+
"step": 4400
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 2.25,
|
| 366 |
+
"grad_norm": 0.08476172387599945,
|
| 367 |
+
"learning_rate": 8.025888650357006e-06,
|
| 368 |
+
"loss": 0.0,
|
| 369 |
+
"step": 4500
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 2.3,
|
| 373 |
+
"grad_norm": 0.08015169203281403,
|
| 374 |
+
"learning_rate": 7.974112064005435e-06,
|
| 375 |
+
"loss": 0.0,
|
| 376 |
+
"step": 4600
|
| 377 |
+
},
|
| 378 |
+
{
|
| 379 |
+
"epoch": 2.35,
|
| 380 |
+
"grad_norm": 0.22844159603118896,
|
| 381 |
+
"learning_rate": 7.922335477653864e-06,
|
| 382 |
+
"loss": 0.0006,
|
| 383 |
+
"step": 4700
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"epoch": 2.4,
|
| 387 |
+
"grad_norm": 0.08015509694814682,
|
| 388 |
+
"learning_rate": 7.870558891302293e-06,
|
| 389 |
+
"loss": 0.0006,
|
| 390 |
+
"step": 4800
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 2.45,
|
| 394 |
+
"grad_norm": 5.426948547363281,
|
| 395 |
+
"learning_rate": 7.818782304950722e-06,
|
| 396 |
+
"loss": 0.0,
|
| 397 |
+
"step": 4900
|
| 398 |
+
},
|
| 399 |
+
{
|
| 400 |
+
"epoch": 2.5,
|
| 401 |
+
"grad_norm": 0.022730231285095215,
|
| 402 |
+
"learning_rate": 7.767005718599151e-06,
|
| 403 |
+
"loss": 0.0,
|
| 404 |
+
"step": 5000
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 2.55,
|
| 408 |
+
"grad_norm": 5.662137508392334,
|
| 409 |
+
"learning_rate": 7.71522913224758e-06,
|
| 410 |
+
"loss": 0.0,
|
| 411 |
+
"step": 5100
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 2.6,
|
| 415 |
+
"grad_norm": 0.05326724052429199,
|
| 416 |
+
"learning_rate": 7.66345254589601e-06,
|
| 417 |
+
"loss": 0.0,
|
| 418 |
+
"step": 5200
|
| 419 |
+
},
|
| 420 |
+
{
|
| 421 |
+
"epoch": 2.65,
|
| 422 |
+
"grad_norm": 2.7219042778015137,
|
| 423 |
+
"learning_rate": 7.611675959544438e-06,
|
| 424 |
+
"loss": 0.0003,
|
| 425 |
+
"step": 5300
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"epoch": 2.7,
|
| 429 |
+
"grad_norm": 4.045983791351318,
|
| 430 |
+
"learning_rate": 7.559899373192868e-06,
|
| 431 |
+
"loss": 0.0,
|
| 432 |
+
"step": 5400
|
| 433 |
+
},
|
| 434 |
+
{
|
| 435 |
+
"epoch": 2.75,
|
| 436 |
+
"grad_norm": 0.17610976099967957,
|
| 437 |
+
"learning_rate": 7.5081227868412964e-06,
|
| 438 |
+
"loss": 0.0,
|
| 439 |
+
"step": 5500
|
| 440 |
+
},
|
| 441 |
+
{
|
| 442 |
+
"epoch": 2.8,
|
| 443 |
+
"grad_norm": 0.03921931982040405,
|
| 444 |
+
"learning_rate": 7.456346200489726e-06,
|
| 445 |
+
"loss": 0.0,
|
| 446 |
+
"step": 5600
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 2.85,
|
| 450 |
+
"grad_norm": 3.3493025302886963,
|
| 451 |
+
"learning_rate": 7.404569614138155e-06,
|
| 452 |
+
"loss": 0.0,
|
| 453 |
+
"step": 5700
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 2.9,
|
| 457 |
+
"grad_norm": 0.17839455604553223,
|
| 458 |
+
"learning_rate": 7.352793027786584e-06,
|
| 459 |
+
"loss": 0.0,
|
| 460 |
+
"step": 5800
|
| 461 |
+
},
|
| 462 |
+
{
|
| 463 |
+
"epoch": 2.95,
|
| 464 |
+
"grad_norm": 0.01533100288361311,
|
| 465 |
+
"learning_rate": 7.301016441435013e-06,
|
| 466 |
+
"loss": 0.0,
|
| 467 |
+
"step": 5900
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"epoch": 3.0,
|
| 471 |
+
"grad_norm": 0.6168579459190369,
|
| 472 |
+
"learning_rate": 7.249239855083442e-06,
|
| 473 |
+
"loss": 0.0,
|
| 474 |
+
"step": 6000
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"epoch": 3.0,
|
| 478 |
+
"eval_economic_inequality_accuracy": 0.818639798488665,
|
| 479 |
+
"eval_economic_inequality_f1": 0.8128041981528128,
|
| 480 |
+
"eval_economic_policy_benefits_accuracy": 0.8686868686868687,
|
| 481 |
+
"eval_economic_policy_benefits_f1": 0.849679269639744,
|
| 482 |
+
"eval_ethnic_boundaries_accuracy": 0.9379084967320261,
|
| 483 |
+
"eval_ethnic_boundaries_f1": 0.9377319200237987,
|
| 484 |
+
"eval_language_policy_accuracy": 0.6470588235294118,
|
| 485 |
+
"eval_language_policy_f1": 0.5673202614379085,
|
| 486 |
+
"eval_loss": NaN,
|
| 487 |
+
"eval_mother_tongue_education_accuracy": 0.7777777777777778,
|
| 488 |
+
"eval_mother_tongue_education_f1": 0.7407407407407408,
|
| 489 |
+
"eval_overall_accuracy": 0.8181454231515234,
|
| 490 |
+
"eval_overall_f1": 0.794560338168735,
|
| 491 |
+
"eval_religion_ethnic_identity_accuracy": 0.8588007736943907,
|
| 492 |
+
"eval_religion_ethnic_identity_f1": 0.8590856390174055,
|
| 493 |
+
"eval_runtime": 4.4722,
|
| 494 |
+
"eval_samples_per_second": 894.406,
|
| 495 |
+
"eval_steps_per_second": 55.9,
|
| 496 |
+
"step": 6000
|
| 497 |
+
},
|
| 498 |
+
{
|
| 499 |
+
"epoch": 3.05,
|
| 500 |
+
"grad_norm": 0.06797665357589722,
|
| 501 |
+
"learning_rate": 7.197463268731871e-06,
|
| 502 |
+
"loss": 0.0,
|
| 503 |
+
"step": 6100
|
| 504 |
+
},
|
| 505 |
+
{
|
| 506 |
+
"epoch": 3.1,
|
| 507 |
+
"grad_norm": 0.05142182484269142,
|
| 508 |
+
"learning_rate": 7.145686682380301e-06,
|
| 509 |
+
"loss": 0.0002,
|
| 510 |
+
"step": 6200
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"epoch": 3.15,
|
| 514 |
+
"grad_norm": 0.04868694022297859,
|
| 515 |
+
"learning_rate": 7.09391009602873e-06,
|
| 516 |
+
"loss": 0.0,
|
| 517 |
+
"step": 6300
|
| 518 |
+
},
|
| 519 |
+
{
|
| 520 |
+
"epoch": 3.2,
|
| 521 |
+
"grad_norm": 0.026197949424386024,
|
| 522 |
+
"learning_rate": 7.042133509677158e-06,
|
| 523 |
+
"loss": 0.0005,
|
| 524 |
+
"step": 6400
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 3.25,
|
| 528 |
+
"grad_norm": 12.894441604614258,
|
| 529 |
+
"learning_rate": 6.990356923325587e-06,
|
| 530 |
+
"loss": 0.0,
|
| 531 |
+
"step": 6500
|
| 532 |
+
},
|
| 533 |
+
{
|
| 534 |
+
"epoch": 3.3,
|
| 535 |
+
"grad_norm": 4.21354341506958,
|
| 536 |
+
"learning_rate": 6.938580336974017e-06,
|
| 537 |
+
"loss": 0.0,
|
| 538 |
+
"step": 6600
|
| 539 |
+
},
|
| 540 |
+
{
|
| 541 |
+
"epoch": 3.35,
|
| 542 |
+
"grad_norm": 0.0193119365721941,
|
| 543 |
+
"learning_rate": 6.886803750622446e-06,
|
| 544 |
+
"loss": 0.0,
|
| 545 |
+
"step": 6700
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 3.4,
|
| 549 |
+
"grad_norm": 0.07511546462774277,
|
| 550 |
+
"learning_rate": 6.835027164270875e-06,
|
| 551 |
+
"loss": 0.0,
|
| 552 |
+
"step": 6800
|
| 553 |
+
},
|
| 554 |
+
{
|
| 555 |
+
"epoch": 3.45,
|
| 556 |
+
"grad_norm": 0.9280033111572266,
|
| 557 |
+
"learning_rate": 6.783250577919304e-06,
|
| 558 |
+
"loss": 0.0003,
|
| 559 |
+
"step": 6900
|
| 560 |
+
},
|
| 561 |
+
{
|
| 562 |
+
"epoch": 3.5,
|
| 563 |
+
"grad_norm": 108.68927001953125,
|
| 564 |
+
"learning_rate": 6.731473991567734e-06,
|
| 565 |
+
"loss": 0.0,
|
| 566 |
+
"step": 7000
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 3.55,
|
| 570 |
+
"grad_norm": 4.475680828094482,
|
| 571 |
+
"learning_rate": 6.679697405216162e-06,
|
| 572 |
+
"loss": 0.0,
|
| 573 |
+
"step": 7100
|
| 574 |
+
},
|
| 575 |
+
{
|
| 576 |
+
"epoch": 3.6,
|
| 577 |
+
"grad_norm": 0.040891651064157486,
|
| 578 |
+
"learning_rate": 6.6279208188645915e-06,
|
| 579 |
+
"loss": 0.0,
|
| 580 |
+
"step": 7200
|
| 581 |
+
},
|
| 582 |
+
{
|
| 583 |
+
"epoch": 3.65,
|
| 584 |
+
"grad_norm": 0.032305650413036346,
|
| 585 |
+
"learning_rate": 6.576144232513021e-06,
|
| 586 |
+
"loss": 0.0,
|
| 587 |
+
"step": 7300
|
| 588 |
+
},
|
| 589 |
+
{
|
| 590 |
+
"epoch": 3.7,
|
| 591 |
+
"grad_norm": 0.027986843138933182,
|
| 592 |
+
"learning_rate": 6.524367646161449e-06,
|
| 593 |
+
"loss": 0.0002,
|
| 594 |
+
"step": 7400
|
| 595 |
+
},
|
| 596 |
+
{
|
| 597 |
+
"epoch": 3.75,
|
| 598 |
+
"grad_norm": 0.023173924535512924,
|
| 599 |
+
"learning_rate": 6.472591059809879e-06,
|
| 600 |
+
"loss": 0.0,
|
| 601 |
+
"step": 7500
|
| 602 |
+
},
|
| 603 |
+
{
|
| 604 |
+
"epoch": 3.8,
|
| 605 |
+
"grad_norm": 0.10551729053258896,
|
| 606 |
+
"learning_rate": 6.420814473458308e-06,
|
| 607 |
+
"loss": 0.0,
|
| 608 |
+
"step": 7600
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 3.85,
|
| 612 |
+
"grad_norm": 4.631871223449707,
|
| 613 |
+
"learning_rate": 6.3690378871067366e-06,
|
| 614 |
+
"loss": 0.0,
|
| 615 |
+
"step": 7700
|
| 616 |
+
},
|
| 617 |
+
{
|
| 618 |
+
"epoch": 3.9,
|
| 619 |
+
"grad_norm": 0.09392645955085754,
|
| 620 |
+
"learning_rate": 6.317261300755166e-06,
|
| 621 |
+
"loss": 0.0,
|
| 622 |
+
"step": 7800
|
| 623 |
+
},
|
| 624 |
+
{
|
| 625 |
+
"epoch": 3.95,
|
| 626 |
+
"grad_norm": 0.32573947310447693,
|
| 627 |
+
"learning_rate": 6.265484714403596e-06,
|
| 628 |
+
"loss": 0.0,
|
| 629 |
+
"step": 7900
|
| 630 |
+
},
|
| 631 |
+
{
|
| 632 |
+
"epoch": 4.0,
|
| 633 |
+
"grad_norm": 0.012679875828325748,
|
| 634 |
+
"learning_rate": 6.213708128052024e-06,
|
| 635 |
+
"loss": 0.0,
|
| 636 |
+
"step": 8000
|
| 637 |
+
},
|
| 638 |
+
{
|
| 639 |
+
"epoch": 4.0,
|
| 640 |
+
"eval_economic_inequality_accuracy": 0.809823677581864,
|
| 641 |
+
"eval_economic_inequality_f1": 0.8053367188692558,
|
| 642 |
+
"eval_economic_policy_benefits_accuracy": 0.8451178451178452,
|
| 643 |
+
"eval_economic_policy_benefits_f1": 0.8262377279238239,
|
| 644 |
+
"eval_ethnic_boundaries_accuracy": 0.9379084967320261,
|
| 645 |
+
"eval_ethnic_boundaries_f1": 0.9368969810146281,
|
| 646 |
+
"eval_language_policy_accuracy": 0.7058823529411765,
|
| 647 |
+
"eval_language_policy_f1": 0.6071428571428571,
|
| 648 |
+
"eval_loss": NaN,
|
| 649 |
+
"eval_mother_tongue_education_accuracy": 0.8888888888888888,
|
| 650 |
+
"eval_mother_tongue_education_f1": 0.837037037037037,
|
| 651 |
+
"eval_overall_accuracy": 0.8436493204617509,
|
| 652 |
+
"eval_overall_f1": 0.8135939571355589,
|
| 653 |
+
"eval_religion_ethnic_identity_accuracy": 0.874274661508704,
|
| 654 |
+
"eval_religion_ethnic_identity_f1": 0.8689124208257524,
|
| 655 |
+
"eval_runtime": 4.4538,
|
| 656 |
+
"eval_samples_per_second": 898.1,
|
| 657 |
+
"eval_steps_per_second": 56.131,
|
| 658 |
+
"step": 8000
|
| 659 |
+
},
|
| 660 |
+
{
|
| 661 |
+
"epoch": 4.05,
|
| 662 |
+
"grad_norm": 0.08179322630167007,
|
| 663 |
+
"learning_rate": 6.161931541700453e-06,
|
| 664 |
+
"loss": 0.0,
|
| 665 |
+
"step": 8100
|
| 666 |
+
},
|
| 667 |
+
{
|
| 668 |
+
"epoch": 4.1,
|
| 669 |
+
"grad_norm": 1.8278212547302246,
|
| 670 |
+
"learning_rate": 6.1101549553488824e-06,
|
| 671 |
+
"loss": 0.0,
|
| 672 |
+
"step": 8200
|
| 673 |
+
},
|
| 674 |
+
{
|
| 675 |
+
"epoch": 4.15,
|
| 676 |
+
"grad_norm": 0.9412699341773987,
|
| 677 |
+
"learning_rate": 6.058378368997311e-06,
|
| 678 |
+
"loss": 0.0,
|
| 679 |
+
"step": 8300
|
| 680 |
+
},
|
| 681 |
+
{
|
| 682 |
+
"epoch": 4.2,
|
| 683 |
+
"grad_norm": 0.3116857707500458,
|
| 684 |
+
"learning_rate": 6.006601782645741e-06,
|
| 685 |
+
"loss": 0.0,
|
| 686 |
+
"step": 8400
|
| 687 |
+
},
|
| 688 |
+
{
|
| 689 |
+
"epoch": 4.25,
|
| 690 |
+
"grad_norm": 0.04464244097471237,
|
| 691 |
+
"learning_rate": 5.95482519629417e-06,
|
| 692 |
+
"loss": 0.0,
|
| 693 |
+
"step": 8500
|
| 694 |
+
},
|
| 695 |
+
{
|
| 696 |
+
"epoch": 4.3,
|
| 697 |
+
"grad_norm": 0.0,
|
| 698 |
+
"learning_rate": 5.903048609942598e-06,
|
| 699 |
+
"loss": 0.0,
|
| 700 |
+
"step": 8600
|
| 701 |
+
},
|
| 702 |
+
{
|
| 703 |
+
"epoch": 4.35,
|
| 704 |
+
"grad_norm": 0.011906923726201057,
|
| 705 |
+
"learning_rate": 5.8512720235910274e-06,
|
| 706 |
+
"loss": 0.0,
|
| 707 |
+
"step": 8700
|
| 708 |
+
},
|
| 709 |
+
{
|
| 710 |
+
"epoch": 4.4,
|
| 711 |
+
"grad_norm": 0.022279787808656693,
|
| 712 |
+
"learning_rate": 5.7994954372394575e-06,
|
| 713 |
+
"loss": 0.0002,
|
| 714 |
+
"step": 8800
|
| 715 |
+
},
|
| 716 |
+
{
|
| 717 |
+
"epoch": 4.45,
|
| 718 |
+
"grad_norm": 0.07576213777065277,
|
| 719 |
+
"learning_rate": 5.747718850887886e-06,
|
| 720 |
+
"loss": 0.0001,
|
| 721 |
+
"step": 8900
|
| 722 |
+
},
|
| 723 |
+
{
|
| 724 |
+
"epoch": 4.5,
|
| 725 |
+
"grad_norm": 0.02016213722527027,
|
| 726 |
+
"learning_rate": 5.695942264536315e-06,
|
| 727 |
+
"loss": 0.0,
|
| 728 |
+
"step": 9000
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 4.55,
|
| 732 |
+
"grad_norm": 0.07930700480937958,
|
| 733 |
+
"learning_rate": 5.644165678184744e-06,
|
| 734 |
+
"loss": 0.0,
|
| 735 |
+
"step": 9100
|
| 736 |
+
},
|
| 737 |
+
{
|
| 738 |
+
"epoch": 4.6,
|
| 739 |
+
"grad_norm": 0.016734231263399124,
|
| 740 |
+
"learning_rate": 5.592389091833174e-06,
|
| 741 |
+
"loss": 0.0,
|
| 742 |
+
"step": 9200
|
| 743 |
+
},
|
| 744 |
+
{
|
| 745 |
+
"epoch": 4.65,
|
| 746 |
+
"grad_norm": 0.2023557871580124,
|
| 747 |
+
"learning_rate": 5.5406125054816025e-06,
|
| 748 |
+
"loss": 0.0,
|
| 749 |
+
"step": 9300
|
| 750 |
+
},
|
| 751 |
+
{
|
| 752 |
+
"epoch": 4.7,
|
| 753 |
+
"grad_norm": 0.03384646028280258,
|
| 754 |
+
"learning_rate": 5.488835919130032e-06,
|
| 755 |
+
"loss": 0.0,
|
| 756 |
+
"step": 9400
|
| 757 |
+
},
|
| 758 |
+
{
|
| 759 |
+
"epoch": 4.75,
|
| 760 |
+
"grad_norm": 0.04355572536587715,
|
| 761 |
+
"learning_rate": 5.437059332778461e-06,
|
| 762 |
+
"loss": 0.0001,
|
| 763 |
+
"step": 9500
|
| 764 |
+
},
|
| 765 |
+
{
|
| 766 |
+
"epoch": 4.8,
|
| 767 |
+
"grad_norm": 0.02533441036939621,
|
| 768 |
+
"learning_rate": 5.385282746426889e-06,
|
| 769 |
+
"loss": 0.0001,
|
| 770 |
+
"step": 9600
|
| 771 |
+
},
|
| 772 |
+
{
|
| 773 |
+
"epoch": 4.85,
|
| 774 |
+
"grad_norm": 0.10049561411142349,
|
| 775 |
+
"learning_rate": 5.333506160075319e-06,
|
| 776 |
+
"loss": 0.0,
|
| 777 |
+
"step": 9700
|
| 778 |
+
},
|
| 779 |
+
{
|
| 780 |
+
"epoch": 4.9,
|
| 781 |
+
"grad_norm": 0.018155105412006378,
|
| 782 |
+
"learning_rate": 5.281729573723748e-06,
|
| 783 |
+
"loss": 0.0,
|
| 784 |
+
"step": 9800
|
| 785 |
+
},
|
| 786 |
+
{
|
| 787 |
+
"epoch": 4.95,
|
| 788 |
+
"grad_norm": 0.00853881984949112,
|
| 789 |
+
"learning_rate": 5.229952987372177e-06,
|
| 790 |
+
"loss": 0.0,
|
| 791 |
+
"step": 9900
|
| 792 |
+
},
|
| 793 |
+
{
|
| 794 |
+
"epoch": 5.0,
|
| 795 |
+
"grad_norm": 0.17767295241355896,
|
| 796 |
+
"learning_rate": 5.178176401020606e-06,
|
| 797 |
+
"loss": 0.0,
|
| 798 |
+
"step": 10000
|
| 799 |
+
},
|
| 800 |
+
{
|
| 801 |
+
"epoch": 5.0,
|
| 802 |
+
"eval_economic_inequality_accuracy": 0.8261964735516373,
|
| 803 |
+
"eval_economic_inequality_f1": 0.8121087395907841,
|
| 804 |
+
"eval_economic_policy_benefits_accuracy": 0.8653198653198653,
|
| 805 |
+
"eval_economic_policy_benefits_f1": 0.8471939977021603,
|
| 806 |
+
"eval_ethnic_boundaries_accuracy": 0.9362745098039216,
|
| 807 |
+
"eval_ethnic_boundaries_f1": 0.9365673542144131,
|
| 808 |
+
"eval_language_policy_accuracy": 0.7352941176470589,
|
| 809 |
+
"eval_language_policy_f1": 0.6572786690433748,
|
| 810 |
+
"eval_loss": NaN,
|
| 811 |
+
"eval_mother_tongue_education_accuracy": 0.8888888888888888,
|
| 812 |
+
"eval_mother_tongue_education_f1": 0.837037037037037,
|
| 813 |
+
"eval_overall_accuracy": 0.8553418707750738,
|
| 814 |
+
"eval_overall_f1": 0.8275137305036369,
|
| 815 |
+
"eval_religion_ethnic_identity_accuracy": 0.8800773694390716,
|
| 816 |
+
"eval_religion_ethnic_identity_f1": 0.874896585434052,
|
| 817 |
+
"eval_runtime": 4.4693,
|
| 818 |
+
"eval_samples_per_second": 895.0,
|
| 819 |
+
"eval_steps_per_second": 55.937,
|
| 820 |
+
"step": 10000
|
| 821 |
+
},
|
| 822 |
+
{
|
| 823 |
+
"epoch": 5.05,
|
| 824 |
+
"grad_norm": 0.1333349049091339,
|
| 825 |
+
"learning_rate": 5.126399814669036e-06,
|
| 826 |
+
"loss": 0.0014,
|
| 827 |
+
"step": 10100
|
| 828 |
+
},
|
| 829 |
+
{
|
| 830 |
+
"epoch": 5.1,
|
| 831 |
+
"grad_norm": 1.9743980169296265,
|
| 832 |
+
"learning_rate": 5.074623228317464e-06,
|
| 833 |
+
"loss": 0.0071,
|
| 834 |
+
"step": 10200
|
| 835 |
+
},
|
| 836 |
+
{
|
| 837 |
+
"epoch": 5.15,
|
| 838 |
+
"grad_norm": 0.02137836627662182,
|
| 839 |
+
"learning_rate": 5.022846641965893e-06,
|
| 840 |
+
"loss": 0.0001,
|
| 841 |
+
"step": 10300
|
| 842 |
+
},
|
| 843 |
+
{
|
| 844 |
+
"epoch": 5.2,
|
| 845 |
+
"grad_norm": 28.67204475402832,
|
| 846 |
+
"learning_rate": 4.9710700556143225e-06,
|
| 847 |
+
"loss": 0.0,
|
| 848 |
+
"step": 10400
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"epoch": 5.25,
|
| 852 |
+
"grad_norm": 0.03255374729633331,
|
| 853 |
+
"learning_rate": 4.919293469262752e-06,
|
| 854 |
+
"loss": 0.0011,
|
| 855 |
+
"step": 10500
|
| 856 |
+
},
|
| 857 |
+
{
|
| 858 |
+
"epoch": 5.3,
|
| 859 |
+
"grad_norm": 0.013030334375798702,
|
| 860 |
+
"learning_rate": 4.867516882911181e-06,
|
| 861 |
+
"loss": 0.0,
|
| 862 |
+
"step": 10600
|
| 863 |
+
},
|
| 864 |
+
{
|
| 865 |
+
"epoch": 5.35,
|
| 866 |
+
"grad_norm": 0.006988250184804201,
|
| 867 |
+
"learning_rate": 4.815740296559609e-06,
|
| 868 |
+
"loss": 0.0,
|
| 869 |
+
"step": 10700
|
| 870 |
+
},
|
| 871 |
+
{
|
| 872 |
+
"epoch": 5.4,
|
| 873 |
+
"grad_norm": 0.19381622970104218,
|
| 874 |
+
"learning_rate": 4.763963710208039e-06,
|
| 875 |
+
"loss": 0.0,
|
| 876 |
+
"step": 10800
|
| 877 |
+
},
|
| 878 |
+
{
|
| 879 |
+
"epoch": 5.45,
|
| 880 |
+
"grad_norm": 0.32009562849998474,
|
| 881 |
+
"learning_rate": 4.7121871238564676e-06,
|
| 882 |
+
"loss": 0.0,
|
| 883 |
+
"step": 10900
|
| 884 |
+
},
|
| 885 |
+
{
|
| 886 |
+
"epoch": 5.5,
|
| 887 |
+
"grad_norm": 0.018149327486753464,
|
| 888 |
+
"learning_rate": 4.660410537504898e-06,
|
| 889 |
+
"loss": 0.0,
|
| 890 |
+
"step": 11000
|
| 891 |
+
},
|
| 892 |
+
{
|
| 893 |
+
"epoch": 5.55,
|
| 894 |
+
"grad_norm": 0.02935118041932583,
|
| 895 |
+
"learning_rate": 4.608633951153326e-06,
|
| 896 |
+
"loss": 0.0,
|
| 897 |
+
"step": 11100
|
| 898 |
+
},
|
| 899 |
+
{
|
| 900 |
+
"epoch": 5.6,
|
| 901 |
+
"grad_norm": 0.005307406652718782,
|
| 902 |
+
"learning_rate": 4.556857364801755e-06,
|
| 903 |
+
"loss": 0.0,
|
| 904 |
+
"step": 11200
|
| 905 |
+
},
|
| 906 |
+
{
|
| 907 |
+
"epoch": 5.65,
|
| 908 |
+
"grad_norm": 0.017713243141770363,
|
| 909 |
+
"learning_rate": 4.505080778450184e-06,
|
| 910 |
+
"loss": 0.0,
|
| 911 |
+
"step": 11300
|
| 912 |
+
},
|
| 913 |
+
{
|
| 914 |
+
"epoch": 5.7,
|
| 915 |
+
"grad_norm": 0.4359346330165863,
|
| 916 |
+
"learning_rate": 4.4533041920986134e-06,
|
| 917 |
+
"loss": 0.0,
|
| 918 |
+
"step": 11400
|
| 919 |
+
},
|
| 920 |
+
{
|
| 921 |
+
"epoch": 5.75,
|
| 922 |
+
"grad_norm": 0.007976237684488297,
|
| 923 |
+
"learning_rate": 4.401527605747043e-06,
|
| 924 |
+
"loss": 0.0,
|
| 925 |
+
"step": 11500
|
| 926 |
+
},
|
| 927 |
+
{
|
| 928 |
+
"epoch": 5.8,
|
| 929 |
+
"grad_norm": 0.013159127905964851,
|
| 930 |
+
"learning_rate": 4.349751019395472e-06,
|
| 931 |
+
"loss": 0.0,
|
| 932 |
+
"step": 11600
|
| 933 |
+
},
|
| 934 |
+
{
|
| 935 |
+
"epoch": 5.85,
|
| 936 |
+
"grad_norm": 0.00992471445351839,
|
| 937 |
+
"learning_rate": 4.297974433043901e-06,
|
| 938 |
+
"loss": 0.0,
|
| 939 |
+
"step": 11700
|
| 940 |
+
},
|
| 941 |
+
{
|
| 942 |
+
"epoch": 5.9,
|
| 943 |
+
"grad_norm": 0.030109956860542297,
|
| 944 |
+
"learning_rate": 4.246197846692329e-06,
|
| 945 |
+
"loss": 0.0,
|
| 946 |
+
"step": 11800
|
| 947 |
+
},
|
| 948 |
+
{
|
| 949 |
+
"epoch": 5.95,
|
| 950 |
+
"grad_norm": 1.787908673286438,
|
| 951 |
+
"learning_rate": 4.194421260340759e-06,
|
| 952 |
+
"loss": 0.0,
|
| 953 |
+
"step": 11900
|
| 954 |
+
},
|
| 955 |
+
{
|
| 956 |
+
"epoch": 6.0,
|
| 957 |
+
"grad_norm": 0.026327166706323624,
|
| 958 |
+
"learning_rate": 4.142644673989188e-06,
|
| 959 |
+
"loss": 0.0,
|
| 960 |
+
"step": 12000
|
| 961 |
+
},
|
| 962 |
+
{
|
| 963 |
+
"epoch": 6.0,
|
| 964 |
+
"eval_economic_inequality_accuracy": 0.818639798488665,
|
| 965 |
+
"eval_economic_inequality_f1": 0.8122124279169094,
|
| 966 |
+
"eval_economic_policy_benefits_accuracy": 0.8686868686868687,
|
| 967 |
+
"eval_economic_policy_benefits_f1": 0.8566211399694749,
|
| 968 |
+
"eval_ethnic_boundaries_accuracy": 0.9362745098039216,
|
| 969 |
+
"eval_ethnic_boundaries_f1": 0.9357377620451811,
|
| 970 |
+
"eval_language_policy_accuracy": 0.7352941176470589,
|
| 971 |
+
"eval_language_policy_f1": 0.6586056644880174,
|
| 972 |
+
"eval_loss": NaN,
|
| 973 |
+
"eval_mother_tongue_education_accuracy": 0.7777777777777778,
|
| 974 |
+
"eval_mother_tongue_education_f1": 0.7407407407407408,
|
| 975 |
+
"eval_overall_accuracy": 0.836769818966157,
|
| 976 |
+
"eval_overall_f1": 0.8138010681888227,
|
| 977 |
+
"eval_religion_ethnic_identity_accuracy": 0.8839458413926499,
|
| 978 |
+
"eval_religion_ethnic_identity_f1": 0.8788886739726133,
|
| 979 |
+
"eval_runtime": 4.4805,
|
| 980 |
+
"eval_samples_per_second": 892.749,
|
| 981 |
+
"eval_steps_per_second": 55.797,
|
| 982 |
+
"step": 12000
|
| 983 |
+
}
|
| 984 |
+
],
|
| 985 |
+
"logging_steps": 100,
|
| 986 |
+
"max_steps": 20000,
|
| 987 |
+
"num_input_tokens_seen": 0,
|
| 988 |
+
"num_train_epochs": 10,
|
| 989 |
+
"save_steps": 500,
|
| 990 |
+
"stateful_callbacks": {
|
| 991 |
+
"EarlyStoppingCallback": {
|
| 992 |
+
"args": {
|
| 993 |
+
"early_stopping_patience": 2,
|
| 994 |
+
"early_stopping_threshold": 0.0
|
| 995 |
+
},
|
| 996 |
+
"attributes": {
|
| 997 |
+
"early_stopping_patience_counter": 1
|
| 998 |
+
}
|
| 999 |
+
},
|
| 1000 |
+
"TrainerControl": {
|
| 1001 |
+
"args": {
|
| 1002 |
+
"should_epoch_stop": false,
|
| 1003 |
+
"should_evaluate": false,
|
| 1004 |
+
"should_log": false,
|
| 1005 |
+
"should_save": true,
|
| 1006 |
+
"should_training_stop": false
|
| 1007 |
+
},
|
| 1008 |
+
"attributes": {}
|
| 1009 |
+
}
|
| 1010 |
+
},
|
| 1011 |
+
"total_flos": 2.5262289911808e+16,
|
| 1012 |
+
"train_batch_size": 8,
|
| 1013 |
+
"trial_name": null,
|
| 1014 |
+
"trial_params": {
|
| 1015 |
+
"gradient_accumulation_steps": 1,
|
| 1016 |
+
"learning_rate": 1.0001165419669436e-05,
|
| 1017 |
+
"num_train_epochs": 10,
|
| 1018 |
+
"per_device_train_batch_size": 8,
|
| 1019 |
+
"warmup_steps": 684,
|
| 1020 |
+
"weight_decay": 0.07522641729243515
|
| 1021 |
+
}
|
| 1022 |
+
}
|
run-0/checkpoint-12000/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:84f9f98f39dc377d902877813dc8cf2a83bc674db97d85b5237e673a48a7375f
|
| 3 |
+
size 5777
|
run-0/checkpoint-14000/config.json
ADDED
|
@@ -0,0 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"BertForSequenceClassification"
|
| 4 |
+
],
|
| 5 |
+
"attention_probs_dropout_prob": 0.1,
|
| 6 |
+
"classifier_dropout": null,
|
| 7 |
+
"gradient_checkpointing": false,
|
| 8 |
+
"hidden_act": "gelu",
|
| 9 |
+
"hidden_dropout_prob": 0.1,
|
| 10 |
+
"hidden_size": 768,
|
| 11 |
+
"id2label": {
|
| 12 |
+
"0": "LABEL_0",
|
| 13 |
+
"1": "LABEL_1",
|
| 14 |
+
"2": "LABEL_2",
|
| 15 |
+
"3": "LABEL_3",
|
| 16 |
+
"4": "LABEL_4",
|
| 17 |
+
"5": "LABEL_5",
|
| 18 |
+
"6": "LABEL_6",
|
| 19 |
+
"7": "LABEL_7",
|
| 20 |
+
"8": "LABEL_8",
|
| 21 |
+
"9": "LABEL_9",
|
| 22 |
+
"10": "LABEL_10",
|
| 23 |
+
"11": "LABEL_11",
|
| 24 |
+
"12": "LABEL_12",
|
| 25 |
+
"13": "LABEL_13",
|
| 26 |
+
"14": "LABEL_14",
|
| 27 |
+
"15": "LABEL_15",
|
| 28 |
+
"16": "LABEL_16",
|
| 29 |
+
"17": "LABEL_17"
|
| 30 |
+
},
|
| 31 |
+
"initializer_range": 0.02,
|
| 32 |
+
"intermediate_size": 3072,
|
| 33 |
+
"label2id": {
|
| 34 |
+
"LABEL_0": 0,
|
| 35 |
+
"LABEL_1": 1,
|
| 36 |
+
"LABEL_10": 10,
|
| 37 |
+
"LABEL_11": 11,
|
| 38 |
+
"LABEL_12": 12,
|
| 39 |
+
"LABEL_13": 13,
|
| 40 |
+
"LABEL_14": 14,
|
| 41 |
+
"LABEL_15": 15,
|
| 42 |
+
"LABEL_16": 16,
|
| 43 |
+
"LABEL_17": 17,
|
| 44 |
+
"LABEL_2": 2,
|
| 45 |
+
"LABEL_3": 3,
|
| 46 |
+
"LABEL_4": 4,
|
| 47 |
+
"LABEL_5": 5,
|
| 48 |
+
"LABEL_6": 6,
|
| 49 |
+
"LABEL_7": 7,
|
| 50 |
+
"LABEL_8": 8,
|
| 51 |
+
"LABEL_9": 9
|
| 52 |
+
},
|
| 53 |
+
"layer_norm_eps": 1e-12,
|
| 54 |
+
"max_position_embeddings": 512,
|
| 55 |
+
"model_type": "bert",
|
| 56 |
+
"num_attention_heads": 12,
|
| 57 |
+
"num_hidden_layers": 12,
|
| 58 |
+
"pad_token_id": 0,
|
| 59 |
+
"position_embedding_type": "absolute",
|
| 60 |
+
"torch_dtype": "float32",
|
| 61 |
+
"transformers_version": "4.55.4",
|
| 62 |
+
"type_vocab_size": 2,
|
| 63 |
+
"use_cache": true,
|
| 64 |
+
"vocab_size": 30522
|
| 65 |
+
}
|
run-0/checkpoint-14000/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d54a6abd97fa446a10c97728ae4eacfe0144664b814f0ec4751a71db564b22d4
|
| 3 |
+
size 438007864
|
run-0/checkpoint-14000/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7fca96a6b61bfe53a92893af2d1372794f0efee01689fecf47257eacc3b7d9a2
|
| 3 |
+
size 876140043
|
run-0/checkpoint-14000/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:df14e1f4e842b9f15d085a26323b8ff19a41f8524bfe152f7179b20f387149ed
|
| 3 |
+
size 14645
|
run-0/checkpoint-14000/scaler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:70ccf17f12b51781938dc9a2d2378277e4da0da0109e93e19f7fb3fb9bdeef93
|
| 3 |
+
size 1383
|
run-0/checkpoint-14000/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6e9650c04b231ed02de0abdc06c09967974b287f7bc66be11ed787571dfa6863
|
| 3 |
+
size 1465
|
run-0/checkpoint-14000/trainer_state.json
ADDED
|
@@ -0,0 +1,1184 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 10000,
|
| 3 |
+
"best_metric": 0.8275137305036369,
|
| 4 |
+
"best_model_checkpoint": "./results/run-0/checkpoint-10000",
|
| 5 |
+
"epoch": 7.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 14000,
|
| 8 |
+
"is_hyper_param_search": true,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.05,
|
| 14 |
+
"grad_norm": 2.039576768875122,
|
| 15 |
+
"learning_rate": 1.447537100215313e-06,
|
| 16 |
+
"loss": 0.0,
|
| 17 |
+
"step": 100
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.1,
|
| 21 |
+
"grad_norm": 4.460484504699707,
|
| 22 |
+
"learning_rate": 2.9096957873014878e-06,
|
| 23 |
+
"loss": 0.0821,
|
| 24 |
+
"step": 200
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.15,
|
| 28 |
+
"grad_norm": 26.84711456298828,
|
| 29 |
+
"learning_rate": 4.371854474387663e-06,
|
| 30 |
+
"loss": 0.0519,
|
| 31 |
+
"step": 300
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.2,
|
| 35 |
+
"grad_norm": 0.6646966934204102,
|
| 36 |
+
"learning_rate": 5.834013161473838e-06,
|
| 37 |
+
"loss": 0.0,
|
| 38 |
+
"step": 400
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.25,
|
| 42 |
+
"grad_norm": 1.8385223150253296,
|
| 43 |
+
"learning_rate": 7.296171848560012e-06,
|
| 44 |
+
"loss": 0.0,
|
| 45 |
+
"step": 500
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.3,
|
| 49 |
+
"grad_norm": 0.9234638810157776,
|
| 50 |
+
"learning_rate": 8.758330535646188e-06,
|
| 51 |
+
"loss": 0.0,
|
| 52 |
+
"step": 600
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.35,
|
| 56 |
+
"grad_norm": 38.24382400512695,
|
| 57 |
+
"learning_rate": 9.9933989317167e-06,
|
| 58 |
+
"loss": 0.0,
|
| 59 |
+
"step": 700
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.4,
|
| 63 |
+
"grad_norm": 42.83884811401367,
|
| 64 |
+
"learning_rate": 9.94162234536513e-06,
|
| 65 |
+
"loss": 0.0,
|
| 66 |
+
"step": 800
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.45,
|
| 70 |
+
"grad_norm": 0.8020399808883667,
|
| 71 |
+
"learning_rate": 9.889845759013559e-06,
|
| 72 |
+
"loss": 0.0,
|
| 73 |
+
"step": 900
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.5,
|
| 77 |
+
"grad_norm": 0.86091148853302,
|
| 78 |
+
"learning_rate": 9.838069172661988e-06,
|
| 79 |
+
"loss": 0.0,
|
| 80 |
+
"step": 1000
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.55,
|
| 84 |
+
"grad_norm": 0.16439934074878693,
|
| 85 |
+
"learning_rate": 9.786292586310415e-06,
|
| 86 |
+
"loss": 0.0,
|
| 87 |
+
"step": 1100
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.6,
|
| 91 |
+
"grad_norm": 2.752115488052368,
|
| 92 |
+
"learning_rate": 9.734515999958846e-06,
|
| 93 |
+
"loss": 0.0,
|
| 94 |
+
"step": 1200
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.65,
|
| 98 |
+
"grad_norm": 1.5777802467346191,
|
| 99 |
+
"learning_rate": 9.682739413607275e-06,
|
| 100 |
+
"loss": 0.0,
|
| 101 |
+
"step": 1300
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.7,
|
| 105 |
+
"grad_norm": 5.708035945892334,
|
| 106 |
+
"learning_rate": 9.630962827255703e-06,
|
| 107 |
+
"loss": 0.0598,
|
| 108 |
+
"step": 1400
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.75,
|
| 112 |
+
"grad_norm": 0.3160113990306854,
|
| 113 |
+
"learning_rate": 9.579186240904132e-06,
|
| 114 |
+
"loss": 0.0441,
|
| 115 |
+
"step": 1500
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.8,
|
| 119 |
+
"grad_norm": 1.2273201942443848,
|
| 120 |
+
"learning_rate": 9.527409654552563e-06,
|
| 121 |
+
"loss": 0.0,
|
| 122 |
+
"step": 1600
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.85,
|
| 126 |
+
"grad_norm": 29.215551376342773,
|
| 127 |
+
"learning_rate": 9.47563306820099e-06,
|
| 128 |
+
"loss": 0.0,
|
| 129 |
+
"step": 1700
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.9,
|
| 133 |
+
"grad_norm": 0.18806450068950653,
|
| 134 |
+
"learning_rate": 9.42385648184942e-06,
|
| 135 |
+
"loss": 0.0,
|
| 136 |
+
"step": 1800
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.95,
|
| 140 |
+
"grad_norm": 0.41723617911338806,
|
| 141 |
+
"learning_rate": 9.372079895497849e-06,
|
| 142 |
+
"loss": 0.0183,
|
| 143 |
+
"step": 1900
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 1.0,
|
| 147 |
+
"grad_norm": 1.9550623893737793,
|
| 148 |
+
"learning_rate": 9.32030330914628e-06,
|
| 149 |
+
"loss": 0.0,
|
| 150 |
+
"step": 2000
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 1.0,
|
| 154 |
+
"eval_economic_inequality_accuracy": 0.8047858942065491,
|
| 155 |
+
"eval_economic_inequality_f1": 0.7536914695213144,
|
| 156 |
+
"eval_economic_policy_benefits_accuracy": 0.8282828282828283,
|
| 157 |
+
"eval_economic_policy_benefits_f1": 0.7567090529234769,
|
| 158 |
+
"eval_ethnic_boundaries_accuracy": 0.9526143790849673,
|
| 159 |
+
"eval_ethnic_boundaries_f1": 0.9344984933861545,
|
| 160 |
+
"eval_language_policy_accuracy": 0.7058823529411765,
|
| 161 |
+
"eval_language_policy_f1": 0.6071428571428571,
|
| 162 |
+
"eval_loss": NaN,
|
| 163 |
+
"eval_mother_tongue_education_accuracy": 0.8888888888888888,
|
| 164 |
+
"eval_mother_tongue_education_f1": 0.837037037037037,
|
| 165 |
+
"eval_overall_accuracy": 0.8392311075242039,
|
| 166 |
+
"eval_overall_f1": 0.782435168791527,
|
| 167 |
+
"eval_religion_ethnic_identity_accuracy": 0.8549323017408124,
|
| 168 |
+
"eval_religion_ethnic_identity_f1": 0.8055321027383222,
|
| 169 |
+
"eval_runtime": 4.4874,
|
| 170 |
+
"eval_samples_per_second": 891.378,
|
| 171 |
+
"eval_steps_per_second": 55.711,
|
| 172 |
+
"step": 2000
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"epoch": 1.05,
|
| 176 |
+
"grad_norm": 2.762986183166504,
|
| 177 |
+
"learning_rate": 9.268526722794707e-06,
|
| 178 |
+
"loss": 0.0,
|
| 179 |
+
"step": 2100
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 1.1,
|
| 183 |
+
"grad_norm": 0.5487369298934937,
|
| 184 |
+
"learning_rate": 9.216750136443136e-06,
|
| 185 |
+
"loss": 0.0,
|
| 186 |
+
"step": 2200
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 1.15,
|
| 190 |
+
"grad_norm": 4.76751184463501,
|
| 191 |
+
"learning_rate": 9.164973550091565e-06,
|
| 192 |
+
"loss": 0.0102,
|
| 193 |
+
"step": 2300
|
| 194 |
+
},
|
| 195 |
+
{
|
| 196 |
+
"epoch": 1.2,
|
| 197 |
+
"grad_norm": 2.681756019592285,
|
| 198 |
+
"learning_rate": 9.113196963739995e-06,
|
| 199 |
+
"loss": 0.0,
|
| 200 |
+
"step": 2400
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 1.25,
|
| 204 |
+
"grad_norm": 0.24124185740947723,
|
| 205 |
+
"learning_rate": 9.061420377388424e-06,
|
| 206 |
+
"loss": 0.0,
|
| 207 |
+
"step": 2500
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 1.3,
|
| 211 |
+
"grad_norm": 1.943154215812683,
|
| 212 |
+
"learning_rate": 9.009643791036853e-06,
|
| 213 |
+
"loss": 0.0,
|
| 214 |
+
"step": 2600
|
| 215 |
+
},
|
| 216 |
+
{
|
| 217 |
+
"epoch": 1.35,
|
| 218 |
+
"grad_norm": 0.28053101897239685,
|
| 219 |
+
"learning_rate": 8.957867204685282e-06,
|
| 220 |
+
"loss": 0.0347,
|
| 221 |
+
"step": 2700
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 1.4,
|
| 225 |
+
"grad_norm": 1.7952568531036377,
|
| 226 |
+
"learning_rate": 8.906090618333711e-06,
|
| 227 |
+
"loss": 0.4436,
|
| 228 |
+
"step": 2800
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"epoch": 1.45,
|
| 232 |
+
"grad_norm": 3.859933614730835,
|
| 233 |
+
"learning_rate": 8.85431403198214e-06,
|
| 234 |
+
"loss": 0.0,
|
| 235 |
+
"step": 2900
|
| 236 |
+
},
|
| 237 |
+
{
|
| 238 |
+
"epoch": 1.5,
|
| 239 |
+
"grad_norm": 1.094464898109436,
|
| 240 |
+
"learning_rate": 8.80253744563057e-06,
|
| 241 |
+
"loss": 0.0,
|
| 242 |
+
"step": 3000
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 1.55,
|
| 246 |
+
"grad_norm": 0.5670285820960999,
|
| 247 |
+
"learning_rate": 8.750760859278999e-06,
|
| 248 |
+
"loss": 0.0,
|
| 249 |
+
"step": 3100
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 1.6,
|
| 253 |
+
"grad_norm": 2.8412418365478516,
|
| 254 |
+
"learning_rate": 8.698984272927428e-06,
|
| 255 |
+
"loss": 0.0,
|
| 256 |
+
"step": 3200
|
| 257 |
+
},
|
| 258 |
+
{
|
| 259 |
+
"epoch": 1.65,
|
| 260 |
+
"grad_norm": 65.82475280761719,
|
| 261 |
+
"learning_rate": 8.647207686575855e-06,
|
| 262 |
+
"loss": 0.0,
|
| 263 |
+
"step": 3300
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 1.7,
|
| 267 |
+
"grad_norm": 8.976615905761719,
|
| 268 |
+
"learning_rate": 8.595431100224286e-06,
|
| 269 |
+
"loss": 0.0048,
|
| 270 |
+
"step": 3400
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"epoch": 1.75,
|
| 274 |
+
"grad_norm": 126.71548461914062,
|
| 275 |
+
"learning_rate": 8.543654513872716e-06,
|
| 276 |
+
"loss": 0.0,
|
| 277 |
+
"step": 3500
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"epoch": 1.8,
|
| 281 |
+
"grad_norm": 0.595015823841095,
|
| 282 |
+
"learning_rate": 8.491877927521143e-06,
|
| 283 |
+
"loss": 0.0033,
|
| 284 |
+
"step": 3600
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 1.85,
|
| 288 |
+
"grad_norm": 3.98215651512146,
|
| 289 |
+
"learning_rate": 8.440101341169572e-06,
|
| 290 |
+
"loss": 0.1482,
|
| 291 |
+
"step": 3700
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 1.9,
|
| 295 |
+
"grad_norm": 3.0417540073394775,
|
| 296 |
+
"learning_rate": 8.388324754818003e-06,
|
| 297 |
+
"loss": 0.0031,
|
| 298 |
+
"step": 3800
|
| 299 |
+
},
|
| 300 |
+
{
|
| 301 |
+
"epoch": 1.95,
|
| 302 |
+
"grad_norm": 27.85649299621582,
|
| 303 |
+
"learning_rate": 8.33654816846643e-06,
|
| 304 |
+
"loss": 0.0589,
|
| 305 |
+
"step": 3900
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"epoch": 2.0,
|
| 309 |
+
"grad_norm": 2.3094232082366943,
|
| 310 |
+
"learning_rate": 8.28477158211486e-06,
|
| 311 |
+
"loss": 0.0,
|
| 312 |
+
"step": 4000
|
| 313 |
+
},
|
| 314 |
+
{
|
| 315 |
+
"epoch": 2.0,
|
| 316 |
+
"eval_economic_inequality_accuracy": 0.8236775818639799,
|
| 317 |
+
"eval_economic_inequality_f1": 0.8161521311449569,
|
| 318 |
+
"eval_economic_policy_benefits_accuracy": 0.835016835016835,
|
| 319 |
+
"eval_economic_policy_benefits_f1": 0.81117677081242,
|
| 320 |
+
"eval_ethnic_boundaries_accuracy": 0.9477124183006536,
|
| 321 |
+
"eval_ethnic_boundaries_f1": 0.9421262334088456,
|
| 322 |
+
"eval_language_policy_accuracy": 0.7058823529411765,
|
| 323 |
+
"eval_language_policy_f1": 0.6071428571428571,
|
| 324 |
+
"eval_loss": NaN,
|
| 325 |
+
"eval_mother_tongue_education_accuracy": 0.7777777777777778,
|
| 326 |
+
"eval_mother_tongue_education_f1": 0.7407407407407408,
|
| 327 |
+
"eval_overall_accuracy": 0.8277126438976526,
|
| 328 |
+
"eval_overall_f1": 0.7960173130694123,
|
| 329 |
+
"eval_religion_ethnic_identity_accuracy": 0.8762088974854932,
|
| 330 |
+
"eval_religion_ethnic_identity_f1": 0.8587651451666537,
|
| 331 |
+
"eval_runtime": 4.4654,
|
| 332 |
+
"eval_samples_per_second": 895.775,
|
| 333 |
+
"eval_steps_per_second": 55.986,
|
| 334 |
+
"step": 4000
|
| 335 |
+
},
|
| 336 |
+
{
|
| 337 |
+
"epoch": 2.05,
|
| 338 |
+
"grad_norm": 8.547677040100098,
|
| 339 |
+
"learning_rate": 8.232994995763289e-06,
|
| 340 |
+
"loss": 0.0,
|
| 341 |
+
"step": 4100
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"epoch": 2.1,
|
| 345 |
+
"grad_norm": 117.06266784667969,
|
| 346 |
+
"learning_rate": 8.181218409411718e-06,
|
| 347 |
+
"loss": 0.0,
|
| 348 |
+
"step": 4200
|
| 349 |
+
},
|
| 350 |
+
{
|
| 351 |
+
"epoch": 2.15,
|
| 352 |
+
"grad_norm": 0.19274334609508514,
|
| 353 |
+
"learning_rate": 8.129441823060147e-06,
|
| 354 |
+
"loss": 0.0,
|
| 355 |
+
"step": 4300
|
| 356 |
+
},
|
| 357 |
+
{
|
| 358 |
+
"epoch": 2.2,
|
| 359 |
+
"grad_norm": 1.0360257625579834,
|
| 360 |
+
"learning_rate": 8.077665236708576e-06,
|
| 361 |
+
"loss": 0.0,
|
| 362 |
+
"step": 4400
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 2.25,
|
| 366 |
+
"grad_norm": 0.08476172387599945,
|
| 367 |
+
"learning_rate": 8.025888650357006e-06,
|
| 368 |
+
"loss": 0.0,
|
| 369 |
+
"step": 4500
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 2.3,
|
| 373 |
+
"grad_norm": 0.08015169203281403,
|
| 374 |
+
"learning_rate": 7.974112064005435e-06,
|
| 375 |
+
"loss": 0.0,
|
| 376 |
+
"step": 4600
|
| 377 |
+
},
|
| 378 |
+
{
|
| 379 |
+
"epoch": 2.35,
|
| 380 |
+
"grad_norm": 0.22844159603118896,
|
| 381 |
+
"learning_rate": 7.922335477653864e-06,
|
| 382 |
+
"loss": 0.0006,
|
| 383 |
+
"step": 4700
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"epoch": 2.4,
|
| 387 |
+
"grad_norm": 0.08015509694814682,
|
| 388 |
+
"learning_rate": 7.870558891302293e-06,
|
| 389 |
+
"loss": 0.0006,
|
| 390 |
+
"step": 4800
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 2.45,
|
| 394 |
+
"grad_norm": 5.426948547363281,
|
| 395 |
+
"learning_rate": 7.818782304950722e-06,
|
| 396 |
+
"loss": 0.0,
|
| 397 |
+
"step": 4900
|
| 398 |
+
},
|
| 399 |
+
{
|
| 400 |
+
"epoch": 2.5,
|
| 401 |
+
"grad_norm": 0.022730231285095215,
|
| 402 |
+
"learning_rate": 7.767005718599151e-06,
|
| 403 |
+
"loss": 0.0,
|
| 404 |
+
"step": 5000
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 2.55,
|
| 408 |
+
"grad_norm": 5.662137508392334,
|
| 409 |
+
"learning_rate": 7.71522913224758e-06,
|
| 410 |
+
"loss": 0.0,
|
| 411 |
+
"step": 5100
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 2.6,
|
| 415 |
+
"grad_norm": 0.05326724052429199,
|
| 416 |
+
"learning_rate": 7.66345254589601e-06,
|
| 417 |
+
"loss": 0.0,
|
| 418 |
+
"step": 5200
|
| 419 |
+
},
|
| 420 |
+
{
|
| 421 |
+
"epoch": 2.65,
|
| 422 |
+
"grad_norm": 2.7219042778015137,
|
| 423 |
+
"learning_rate": 7.611675959544438e-06,
|
| 424 |
+
"loss": 0.0003,
|
| 425 |
+
"step": 5300
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"epoch": 2.7,
|
| 429 |
+
"grad_norm": 4.045983791351318,
|
| 430 |
+
"learning_rate": 7.559899373192868e-06,
|
| 431 |
+
"loss": 0.0,
|
| 432 |
+
"step": 5400
|
| 433 |
+
},
|
| 434 |
+
{
|
| 435 |
+
"epoch": 2.75,
|
| 436 |
+
"grad_norm": 0.17610976099967957,
|
| 437 |
+
"learning_rate": 7.5081227868412964e-06,
|
| 438 |
+
"loss": 0.0,
|
| 439 |
+
"step": 5500
|
| 440 |
+
},
|
| 441 |
+
{
|
| 442 |
+
"epoch": 2.8,
|
| 443 |
+
"grad_norm": 0.03921931982040405,
|
| 444 |
+
"learning_rate": 7.456346200489726e-06,
|
| 445 |
+
"loss": 0.0,
|
| 446 |
+
"step": 5600
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 2.85,
|
| 450 |
+
"grad_norm": 3.3493025302886963,
|
| 451 |
+
"learning_rate": 7.404569614138155e-06,
|
| 452 |
+
"loss": 0.0,
|
| 453 |
+
"step": 5700
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 2.9,
|
| 457 |
+
"grad_norm": 0.17839455604553223,
|
| 458 |
+
"learning_rate": 7.352793027786584e-06,
|
| 459 |
+
"loss": 0.0,
|
| 460 |
+
"step": 5800
|
| 461 |
+
},
|
| 462 |
+
{
|
| 463 |
+
"epoch": 2.95,
|
| 464 |
+
"grad_norm": 0.01533100288361311,
|
| 465 |
+
"learning_rate": 7.301016441435013e-06,
|
| 466 |
+
"loss": 0.0,
|
| 467 |
+
"step": 5900
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"epoch": 3.0,
|
| 471 |
+
"grad_norm": 0.6168579459190369,
|
| 472 |
+
"learning_rate": 7.249239855083442e-06,
|
| 473 |
+
"loss": 0.0,
|
| 474 |
+
"step": 6000
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"epoch": 3.0,
|
| 478 |
+
"eval_economic_inequality_accuracy": 0.818639798488665,
|
| 479 |
+
"eval_economic_inequality_f1": 0.8128041981528128,
|
| 480 |
+
"eval_economic_policy_benefits_accuracy": 0.8686868686868687,
|
| 481 |
+
"eval_economic_policy_benefits_f1": 0.849679269639744,
|
| 482 |
+
"eval_ethnic_boundaries_accuracy": 0.9379084967320261,
|
| 483 |
+
"eval_ethnic_boundaries_f1": 0.9377319200237987,
|
| 484 |
+
"eval_language_policy_accuracy": 0.6470588235294118,
|
| 485 |
+
"eval_language_policy_f1": 0.5673202614379085,
|
| 486 |
+
"eval_loss": NaN,
|
| 487 |
+
"eval_mother_tongue_education_accuracy": 0.7777777777777778,
|
| 488 |
+
"eval_mother_tongue_education_f1": 0.7407407407407408,
|
| 489 |
+
"eval_overall_accuracy": 0.8181454231515234,
|
| 490 |
+
"eval_overall_f1": 0.794560338168735,
|
| 491 |
+
"eval_religion_ethnic_identity_accuracy": 0.8588007736943907,
|
| 492 |
+
"eval_religion_ethnic_identity_f1": 0.8590856390174055,
|
| 493 |
+
"eval_runtime": 4.4722,
|
| 494 |
+
"eval_samples_per_second": 894.406,
|
| 495 |
+
"eval_steps_per_second": 55.9,
|
| 496 |
+
"step": 6000
|
| 497 |
+
},
|
| 498 |
+
{
|
| 499 |
+
"epoch": 3.05,
|
| 500 |
+
"grad_norm": 0.06797665357589722,
|
| 501 |
+
"learning_rate": 7.197463268731871e-06,
|
| 502 |
+
"loss": 0.0,
|
| 503 |
+
"step": 6100
|
| 504 |
+
},
|
| 505 |
+
{
|
| 506 |
+
"epoch": 3.1,
|
| 507 |
+
"grad_norm": 0.05142182484269142,
|
| 508 |
+
"learning_rate": 7.145686682380301e-06,
|
| 509 |
+
"loss": 0.0002,
|
| 510 |
+
"step": 6200
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"epoch": 3.15,
|
| 514 |
+
"grad_norm": 0.04868694022297859,
|
| 515 |
+
"learning_rate": 7.09391009602873e-06,
|
| 516 |
+
"loss": 0.0,
|
| 517 |
+
"step": 6300
|
| 518 |
+
},
|
| 519 |
+
{
|
| 520 |
+
"epoch": 3.2,
|
| 521 |
+
"grad_norm": 0.026197949424386024,
|
| 522 |
+
"learning_rate": 7.042133509677158e-06,
|
| 523 |
+
"loss": 0.0005,
|
| 524 |
+
"step": 6400
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 3.25,
|
| 528 |
+
"grad_norm": 12.894441604614258,
|
| 529 |
+
"learning_rate": 6.990356923325587e-06,
|
| 530 |
+
"loss": 0.0,
|
| 531 |
+
"step": 6500
|
| 532 |
+
},
|
| 533 |
+
{
|
| 534 |
+
"epoch": 3.3,
|
| 535 |
+
"grad_norm": 4.21354341506958,
|
| 536 |
+
"learning_rate": 6.938580336974017e-06,
|
| 537 |
+
"loss": 0.0,
|
| 538 |
+
"step": 6600
|
| 539 |
+
},
|
| 540 |
+
{
|
| 541 |
+
"epoch": 3.35,
|
| 542 |
+
"grad_norm": 0.0193119365721941,
|
| 543 |
+
"learning_rate": 6.886803750622446e-06,
|
| 544 |
+
"loss": 0.0,
|
| 545 |
+
"step": 6700
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 3.4,
|
| 549 |
+
"grad_norm": 0.07511546462774277,
|
| 550 |
+
"learning_rate": 6.835027164270875e-06,
|
| 551 |
+
"loss": 0.0,
|
| 552 |
+
"step": 6800
|
| 553 |
+
},
|
| 554 |
+
{
|
| 555 |
+
"epoch": 3.45,
|
| 556 |
+
"grad_norm": 0.9280033111572266,
|
| 557 |
+
"learning_rate": 6.783250577919304e-06,
|
| 558 |
+
"loss": 0.0003,
|
| 559 |
+
"step": 6900
|
| 560 |
+
},
|
| 561 |
+
{
|
| 562 |
+
"epoch": 3.5,
|
| 563 |
+
"grad_norm": 108.68927001953125,
|
| 564 |
+
"learning_rate": 6.731473991567734e-06,
|
| 565 |
+
"loss": 0.0,
|
| 566 |
+
"step": 7000
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 3.55,
|
| 570 |
+
"grad_norm": 4.475680828094482,
|
| 571 |
+
"learning_rate": 6.679697405216162e-06,
|
| 572 |
+
"loss": 0.0,
|
| 573 |
+
"step": 7100
|
| 574 |
+
},
|
| 575 |
+
{
|
| 576 |
+
"epoch": 3.6,
|
| 577 |
+
"grad_norm": 0.040891651064157486,
|
| 578 |
+
"learning_rate": 6.6279208188645915e-06,
|
| 579 |
+
"loss": 0.0,
|
| 580 |
+
"step": 7200
|
| 581 |
+
},
|
| 582 |
+
{
|
| 583 |
+
"epoch": 3.65,
|
| 584 |
+
"grad_norm": 0.032305650413036346,
|
| 585 |
+
"learning_rate": 6.576144232513021e-06,
|
| 586 |
+
"loss": 0.0,
|
| 587 |
+
"step": 7300
|
| 588 |
+
},
|
| 589 |
+
{
|
| 590 |
+
"epoch": 3.7,
|
| 591 |
+
"grad_norm": 0.027986843138933182,
|
| 592 |
+
"learning_rate": 6.524367646161449e-06,
|
| 593 |
+
"loss": 0.0002,
|
| 594 |
+
"step": 7400
|
| 595 |
+
},
|
| 596 |
+
{
|
| 597 |
+
"epoch": 3.75,
|
| 598 |
+
"grad_norm": 0.023173924535512924,
|
| 599 |
+
"learning_rate": 6.472591059809879e-06,
|
| 600 |
+
"loss": 0.0,
|
| 601 |
+
"step": 7500
|
| 602 |
+
},
|
| 603 |
+
{
|
| 604 |
+
"epoch": 3.8,
|
| 605 |
+
"grad_norm": 0.10551729053258896,
|
| 606 |
+
"learning_rate": 6.420814473458308e-06,
|
| 607 |
+
"loss": 0.0,
|
| 608 |
+
"step": 7600
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 3.85,
|
| 612 |
+
"grad_norm": 4.631871223449707,
|
| 613 |
+
"learning_rate": 6.3690378871067366e-06,
|
| 614 |
+
"loss": 0.0,
|
| 615 |
+
"step": 7700
|
| 616 |
+
},
|
| 617 |
+
{
|
| 618 |
+
"epoch": 3.9,
|
| 619 |
+
"grad_norm": 0.09392645955085754,
|
| 620 |
+
"learning_rate": 6.317261300755166e-06,
|
| 621 |
+
"loss": 0.0,
|
| 622 |
+
"step": 7800
|
| 623 |
+
},
|
| 624 |
+
{
|
| 625 |
+
"epoch": 3.95,
|
| 626 |
+
"grad_norm": 0.32573947310447693,
|
| 627 |
+
"learning_rate": 6.265484714403596e-06,
|
| 628 |
+
"loss": 0.0,
|
| 629 |
+
"step": 7900
|
| 630 |
+
},
|
| 631 |
+
{
|
| 632 |
+
"epoch": 4.0,
|
| 633 |
+
"grad_norm": 0.012679875828325748,
|
| 634 |
+
"learning_rate": 6.213708128052024e-06,
|
| 635 |
+
"loss": 0.0,
|
| 636 |
+
"step": 8000
|
| 637 |
+
},
|
| 638 |
+
{
|
| 639 |
+
"epoch": 4.0,
|
| 640 |
+
"eval_economic_inequality_accuracy": 0.809823677581864,
|
| 641 |
+
"eval_economic_inequality_f1": 0.8053367188692558,
|
| 642 |
+
"eval_economic_policy_benefits_accuracy": 0.8451178451178452,
|
| 643 |
+
"eval_economic_policy_benefits_f1": 0.8262377279238239,
|
| 644 |
+
"eval_ethnic_boundaries_accuracy": 0.9379084967320261,
|
| 645 |
+
"eval_ethnic_boundaries_f1": 0.9368969810146281,
|
| 646 |
+
"eval_language_policy_accuracy": 0.7058823529411765,
|
| 647 |
+
"eval_language_policy_f1": 0.6071428571428571,
|
| 648 |
+
"eval_loss": NaN,
|
| 649 |
+
"eval_mother_tongue_education_accuracy": 0.8888888888888888,
|
| 650 |
+
"eval_mother_tongue_education_f1": 0.837037037037037,
|
| 651 |
+
"eval_overall_accuracy": 0.8436493204617509,
|
| 652 |
+
"eval_overall_f1": 0.8135939571355589,
|
| 653 |
+
"eval_religion_ethnic_identity_accuracy": 0.874274661508704,
|
| 654 |
+
"eval_religion_ethnic_identity_f1": 0.8689124208257524,
|
| 655 |
+
"eval_runtime": 4.4538,
|
| 656 |
+
"eval_samples_per_second": 898.1,
|
| 657 |
+
"eval_steps_per_second": 56.131,
|
| 658 |
+
"step": 8000
|
| 659 |
+
},
|
| 660 |
+
{
|
| 661 |
+
"epoch": 4.05,
|
| 662 |
+
"grad_norm": 0.08179322630167007,
|
| 663 |
+
"learning_rate": 6.161931541700453e-06,
|
| 664 |
+
"loss": 0.0,
|
| 665 |
+
"step": 8100
|
| 666 |
+
},
|
| 667 |
+
{
|
| 668 |
+
"epoch": 4.1,
|
| 669 |
+
"grad_norm": 1.8278212547302246,
|
| 670 |
+
"learning_rate": 6.1101549553488824e-06,
|
| 671 |
+
"loss": 0.0,
|
| 672 |
+
"step": 8200
|
| 673 |
+
},
|
| 674 |
+
{
|
| 675 |
+
"epoch": 4.15,
|
| 676 |
+
"grad_norm": 0.9412699341773987,
|
| 677 |
+
"learning_rate": 6.058378368997311e-06,
|
| 678 |
+
"loss": 0.0,
|
| 679 |
+
"step": 8300
|
| 680 |
+
},
|
| 681 |
+
{
|
| 682 |
+
"epoch": 4.2,
|
| 683 |
+
"grad_norm": 0.3116857707500458,
|
| 684 |
+
"learning_rate": 6.006601782645741e-06,
|
| 685 |
+
"loss": 0.0,
|
| 686 |
+
"step": 8400
|
| 687 |
+
},
|
| 688 |
+
{
|
| 689 |
+
"epoch": 4.25,
|
| 690 |
+
"grad_norm": 0.04464244097471237,
|
| 691 |
+
"learning_rate": 5.95482519629417e-06,
|
| 692 |
+
"loss": 0.0,
|
| 693 |
+
"step": 8500
|
| 694 |
+
},
|
| 695 |
+
{
|
| 696 |
+
"epoch": 4.3,
|
| 697 |
+
"grad_norm": 0.0,
|
| 698 |
+
"learning_rate": 5.903048609942598e-06,
|
| 699 |
+
"loss": 0.0,
|
| 700 |
+
"step": 8600
|
| 701 |
+
},
|
| 702 |
+
{
|
| 703 |
+
"epoch": 4.35,
|
| 704 |
+
"grad_norm": 0.011906923726201057,
|
| 705 |
+
"learning_rate": 5.8512720235910274e-06,
|
| 706 |
+
"loss": 0.0,
|
| 707 |
+
"step": 8700
|
| 708 |
+
},
|
| 709 |
+
{
|
| 710 |
+
"epoch": 4.4,
|
| 711 |
+
"grad_norm": 0.022279787808656693,
|
| 712 |
+
"learning_rate": 5.7994954372394575e-06,
|
| 713 |
+
"loss": 0.0002,
|
| 714 |
+
"step": 8800
|
| 715 |
+
},
|
| 716 |
+
{
|
| 717 |
+
"epoch": 4.45,
|
| 718 |
+
"grad_norm": 0.07576213777065277,
|
| 719 |
+
"learning_rate": 5.747718850887886e-06,
|
| 720 |
+
"loss": 0.0001,
|
| 721 |
+
"step": 8900
|
| 722 |
+
},
|
| 723 |
+
{
|
| 724 |
+
"epoch": 4.5,
|
| 725 |
+
"grad_norm": 0.02016213722527027,
|
| 726 |
+
"learning_rate": 5.695942264536315e-06,
|
| 727 |
+
"loss": 0.0,
|
| 728 |
+
"step": 9000
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 4.55,
|
| 732 |
+
"grad_norm": 0.07930700480937958,
|
| 733 |
+
"learning_rate": 5.644165678184744e-06,
|
| 734 |
+
"loss": 0.0,
|
| 735 |
+
"step": 9100
|
| 736 |
+
},
|
| 737 |
+
{
|
| 738 |
+
"epoch": 4.6,
|
| 739 |
+
"grad_norm": 0.016734231263399124,
|
| 740 |
+
"learning_rate": 5.592389091833174e-06,
|
| 741 |
+
"loss": 0.0,
|
| 742 |
+
"step": 9200
|
| 743 |
+
},
|
| 744 |
+
{
|
| 745 |
+
"epoch": 4.65,
|
| 746 |
+
"grad_norm": 0.2023557871580124,
|
| 747 |
+
"learning_rate": 5.5406125054816025e-06,
|
| 748 |
+
"loss": 0.0,
|
| 749 |
+
"step": 9300
|
| 750 |
+
},
|
| 751 |
+
{
|
| 752 |
+
"epoch": 4.7,
|
| 753 |
+
"grad_norm": 0.03384646028280258,
|
| 754 |
+
"learning_rate": 5.488835919130032e-06,
|
| 755 |
+
"loss": 0.0,
|
| 756 |
+
"step": 9400
|
| 757 |
+
},
|
| 758 |
+
{
|
| 759 |
+
"epoch": 4.75,
|
| 760 |
+
"grad_norm": 0.04355572536587715,
|
| 761 |
+
"learning_rate": 5.437059332778461e-06,
|
| 762 |
+
"loss": 0.0001,
|
| 763 |
+
"step": 9500
|
| 764 |
+
},
|
| 765 |
+
{
|
| 766 |
+
"epoch": 4.8,
|
| 767 |
+
"grad_norm": 0.02533441036939621,
|
| 768 |
+
"learning_rate": 5.385282746426889e-06,
|
| 769 |
+
"loss": 0.0001,
|
| 770 |
+
"step": 9600
|
| 771 |
+
},
|
| 772 |
+
{
|
| 773 |
+
"epoch": 4.85,
|
| 774 |
+
"grad_norm": 0.10049561411142349,
|
| 775 |
+
"learning_rate": 5.333506160075319e-06,
|
| 776 |
+
"loss": 0.0,
|
| 777 |
+
"step": 9700
|
| 778 |
+
},
|
| 779 |
+
{
|
| 780 |
+
"epoch": 4.9,
|
| 781 |
+
"grad_norm": 0.018155105412006378,
|
| 782 |
+
"learning_rate": 5.281729573723748e-06,
|
| 783 |
+
"loss": 0.0,
|
| 784 |
+
"step": 9800
|
| 785 |
+
},
|
| 786 |
+
{
|
| 787 |
+
"epoch": 4.95,
|
| 788 |
+
"grad_norm": 0.00853881984949112,
|
| 789 |
+
"learning_rate": 5.229952987372177e-06,
|
| 790 |
+
"loss": 0.0,
|
| 791 |
+
"step": 9900
|
| 792 |
+
},
|
| 793 |
+
{
|
| 794 |
+
"epoch": 5.0,
|
| 795 |
+
"grad_norm": 0.17767295241355896,
|
| 796 |
+
"learning_rate": 5.178176401020606e-06,
|
| 797 |
+
"loss": 0.0,
|
| 798 |
+
"step": 10000
|
| 799 |
+
},
|
| 800 |
+
{
|
| 801 |
+
"epoch": 5.0,
|
| 802 |
+
"eval_economic_inequality_accuracy": 0.8261964735516373,
|
| 803 |
+
"eval_economic_inequality_f1": 0.8121087395907841,
|
| 804 |
+
"eval_economic_policy_benefits_accuracy": 0.8653198653198653,
|
| 805 |
+
"eval_economic_policy_benefits_f1": 0.8471939977021603,
|
| 806 |
+
"eval_ethnic_boundaries_accuracy": 0.9362745098039216,
|
| 807 |
+
"eval_ethnic_boundaries_f1": 0.9365673542144131,
|
| 808 |
+
"eval_language_policy_accuracy": 0.7352941176470589,
|
| 809 |
+
"eval_language_policy_f1": 0.6572786690433748,
|
| 810 |
+
"eval_loss": NaN,
|
| 811 |
+
"eval_mother_tongue_education_accuracy": 0.8888888888888888,
|
| 812 |
+
"eval_mother_tongue_education_f1": 0.837037037037037,
|
| 813 |
+
"eval_overall_accuracy": 0.8553418707750738,
|
| 814 |
+
"eval_overall_f1": 0.8275137305036369,
|
| 815 |
+
"eval_religion_ethnic_identity_accuracy": 0.8800773694390716,
|
| 816 |
+
"eval_religion_ethnic_identity_f1": 0.874896585434052,
|
| 817 |
+
"eval_runtime": 4.4693,
|
| 818 |
+
"eval_samples_per_second": 895.0,
|
| 819 |
+
"eval_steps_per_second": 55.937,
|
| 820 |
+
"step": 10000
|
| 821 |
+
},
|
| 822 |
+
{
|
| 823 |
+
"epoch": 5.05,
|
| 824 |
+
"grad_norm": 0.1333349049091339,
|
| 825 |
+
"learning_rate": 5.126399814669036e-06,
|
| 826 |
+
"loss": 0.0014,
|
| 827 |
+
"step": 10100
|
| 828 |
+
},
|
| 829 |
+
{
|
| 830 |
+
"epoch": 5.1,
|
| 831 |
+
"grad_norm": 1.9743980169296265,
|
| 832 |
+
"learning_rate": 5.074623228317464e-06,
|
| 833 |
+
"loss": 0.0071,
|
| 834 |
+
"step": 10200
|
| 835 |
+
},
|
| 836 |
+
{
|
| 837 |
+
"epoch": 5.15,
|
| 838 |
+
"grad_norm": 0.02137836627662182,
|
| 839 |
+
"learning_rate": 5.022846641965893e-06,
|
| 840 |
+
"loss": 0.0001,
|
| 841 |
+
"step": 10300
|
| 842 |
+
},
|
| 843 |
+
{
|
| 844 |
+
"epoch": 5.2,
|
| 845 |
+
"grad_norm": 28.67204475402832,
|
| 846 |
+
"learning_rate": 4.9710700556143225e-06,
|
| 847 |
+
"loss": 0.0,
|
| 848 |
+
"step": 10400
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"epoch": 5.25,
|
| 852 |
+
"grad_norm": 0.03255374729633331,
|
| 853 |
+
"learning_rate": 4.919293469262752e-06,
|
| 854 |
+
"loss": 0.0011,
|
| 855 |
+
"step": 10500
|
| 856 |
+
},
|
| 857 |
+
{
|
| 858 |
+
"epoch": 5.3,
|
| 859 |
+
"grad_norm": 0.013030334375798702,
|
| 860 |
+
"learning_rate": 4.867516882911181e-06,
|
| 861 |
+
"loss": 0.0,
|
| 862 |
+
"step": 10600
|
| 863 |
+
},
|
| 864 |
+
{
|
| 865 |
+
"epoch": 5.35,
|
| 866 |
+
"grad_norm": 0.006988250184804201,
|
| 867 |
+
"learning_rate": 4.815740296559609e-06,
|
| 868 |
+
"loss": 0.0,
|
| 869 |
+
"step": 10700
|
| 870 |
+
},
|
| 871 |
+
{
|
| 872 |
+
"epoch": 5.4,
|
| 873 |
+
"grad_norm": 0.19381622970104218,
|
| 874 |
+
"learning_rate": 4.763963710208039e-06,
|
| 875 |
+
"loss": 0.0,
|
| 876 |
+
"step": 10800
|
| 877 |
+
},
|
| 878 |
+
{
|
| 879 |
+
"epoch": 5.45,
|
| 880 |
+
"grad_norm": 0.32009562849998474,
|
| 881 |
+
"learning_rate": 4.7121871238564676e-06,
|
| 882 |
+
"loss": 0.0,
|
| 883 |
+
"step": 10900
|
| 884 |
+
},
|
| 885 |
+
{
|
| 886 |
+
"epoch": 5.5,
|
| 887 |
+
"grad_norm": 0.018149327486753464,
|
| 888 |
+
"learning_rate": 4.660410537504898e-06,
|
| 889 |
+
"loss": 0.0,
|
| 890 |
+
"step": 11000
|
| 891 |
+
},
|
| 892 |
+
{
|
| 893 |
+
"epoch": 5.55,
|
| 894 |
+
"grad_norm": 0.02935118041932583,
|
| 895 |
+
"learning_rate": 4.608633951153326e-06,
|
| 896 |
+
"loss": 0.0,
|
| 897 |
+
"step": 11100
|
| 898 |
+
},
|
| 899 |
+
{
|
| 900 |
+
"epoch": 5.6,
|
| 901 |
+
"grad_norm": 0.005307406652718782,
|
| 902 |
+
"learning_rate": 4.556857364801755e-06,
|
| 903 |
+
"loss": 0.0,
|
| 904 |
+
"step": 11200
|
| 905 |
+
},
|
| 906 |
+
{
|
| 907 |
+
"epoch": 5.65,
|
| 908 |
+
"grad_norm": 0.017713243141770363,
|
| 909 |
+
"learning_rate": 4.505080778450184e-06,
|
| 910 |
+
"loss": 0.0,
|
| 911 |
+
"step": 11300
|
| 912 |
+
},
|
| 913 |
+
{
|
| 914 |
+
"epoch": 5.7,
|
| 915 |
+
"grad_norm": 0.4359346330165863,
|
| 916 |
+
"learning_rate": 4.4533041920986134e-06,
|
| 917 |
+
"loss": 0.0,
|
| 918 |
+
"step": 11400
|
| 919 |
+
},
|
| 920 |
+
{
|
| 921 |
+
"epoch": 5.75,
|
| 922 |
+
"grad_norm": 0.007976237684488297,
|
| 923 |
+
"learning_rate": 4.401527605747043e-06,
|
| 924 |
+
"loss": 0.0,
|
| 925 |
+
"step": 11500
|
| 926 |
+
},
|
| 927 |
+
{
|
| 928 |
+
"epoch": 5.8,
|
| 929 |
+
"grad_norm": 0.013159127905964851,
|
| 930 |
+
"learning_rate": 4.349751019395472e-06,
|
| 931 |
+
"loss": 0.0,
|
| 932 |
+
"step": 11600
|
| 933 |
+
},
|
| 934 |
+
{
|
| 935 |
+
"epoch": 5.85,
|
| 936 |
+
"grad_norm": 0.00992471445351839,
|
| 937 |
+
"learning_rate": 4.297974433043901e-06,
|
| 938 |
+
"loss": 0.0,
|
| 939 |
+
"step": 11700
|
| 940 |
+
},
|
| 941 |
+
{
|
| 942 |
+
"epoch": 5.9,
|
| 943 |
+
"grad_norm": 0.030109956860542297,
|
| 944 |
+
"learning_rate": 4.246197846692329e-06,
|
| 945 |
+
"loss": 0.0,
|
| 946 |
+
"step": 11800
|
| 947 |
+
},
|
| 948 |
+
{
|
| 949 |
+
"epoch": 5.95,
|
| 950 |
+
"grad_norm": 1.787908673286438,
|
| 951 |
+
"learning_rate": 4.194421260340759e-06,
|
| 952 |
+
"loss": 0.0,
|
| 953 |
+
"step": 11900
|
| 954 |
+
},
|
| 955 |
+
{
|
| 956 |
+
"epoch": 6.0,
|
| 957 |
+
"grad_norm": 0.026327166706323624,
|
| 958 |
+
"learning_rate": 4.142644673989188e-06,
|
| 959 |
+
"loss": 0.0,
|
| 960 |
+
"step": 12000
|
| 961 |
+
},
|
| 962 |
+
{
|
| 963 |
+
"epoch": 6.0,
|
| 964 |
+
"eval_economic_inequality_accuracy": 0.818639798488665,
|
| 965 |
+
"eval_economic_inequality_f1": 0.8122124279169094,
|
| 966 |
+
"eval_economic_policy_benefits_accuracy": 0.8686868686868687,
|
| 967 |
+
"eval_economic_policy_benefits_f1": 0.8566211399694749,
|
| 968 |
+
"eval_ethnic_boundaries_accuracy": 0.9362745098039216,
|
| 969 |
+
"eval_ethnic_boundaries_f1": 0.9357377620451811,
|
| 970 |
+
"eval_language_policy_accuracy": 0.7352941176470589,
|
| 971 |
+
"eval_language_policy_f1": 0.6586056644880174,
|
| 972 |
+
"eval_loss": NaN,
|
| 973 |
+
"eval_mother_tongue_education_accuracy": 0.7777777777777778,
|
| 974 |
+
"eval_mother_tongue_education_f1": 0.7407407407407408,
|
| 975 |
+
"eval_overall_accuracy": 0.836769818966157,
|
| 976 |
+
"eval_overall_f1": 0.8138010681888227,
|
| 977 |
+
"eval_religion_ethnic_identity_accuracy": 0.8839458413926499,
|
| 978 |
+
"eval_religion_ethnic_identity_f1": 0.8788886739726133,
|
| 979 |
+
"eval_runtime": 4.4805,
|
| 980 |
+
"eval_samples_per_second": 892.749,
|
| 981 |
+
"eval_steps_per_second": 55.797,
|
| 982 |
+
"step": 12000
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 6.05,
|
| 986 |
+
"grad_norm": 0.14624720811843872,
|
| 987 |
+
"learning_rate": 4.090868087637617e-06,
|
| 988 |
+
"loss": 0.0,
|
| 989 |
+
"step": 12100
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 6.1,
|
| 993 |
+
"grad_norm": 0.035003069788217545,
|
| 994 |
+
"learning_rate": 4.039091501286046e-06,
|
| 995 |
+
"loss": 0.0,
|
| 996 |
+
"step": 12200
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 6.15,
|
| 1000 |
+
"grad_norm": 0.006480562500655651,
|
| 1001 |
+
"learning_rate": 3.987314914934475e-06,
|
| 1002 |
+
"loss": 0.0,
|
| 1003 |
+
"step": 12300
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 6.2,
|
| 1007 |
+
"grad_norm": 16.347896575927734,
|
| 1008 |
+
"learning_rate": 3.935538328582904e-06,
|
| 1009 |
+
"loss": 0.0,
|
| 1010 |
+
"step": 12400
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 6.25,
|
| 1014 |
+
"grad_norm": 0.009049425832927227,
|
| 1015 |
+
"learning_rate": 3.8837617422313335e-06,
|
| 1016 |
+
"loss": 0.0,
|
| 1017 |
+
"step": 12500
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 6.3,
|
| 1021 |
+
"grad_norm": 0.16999471187591553,
|
| 1022 |
+
"learning_rate": 3.831985155879763e-06,
|
| 1023 |
+
"loss": 0.0,
|
| 1024 |
+
"step": 12600
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 6.35,
|
| 1028 |
+
"grad_norm": 0.010557026602327824,
|
| 1029 |
+
"learning_rate": 3.780208569528192e-06,
|
| 1030 |
+
"loss": 0.0,
|
| 1031 |
+
"step": 12700
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 6.4,
|
| 1035 |
+
"grad_norm": 0.46991246938705444,
|
| 1036 |
+
"learning_rate": 3.7284319831766206e-06,
|
| 1037 |
+
"loss": 0.0,
|
| 1038 |
+
"step": 12800
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 6.45,
|
| 1042 |
+
"grad_norm": 0.01426410861313343,
|
| 1043 |
+
"learning_rate": 3.6766553968250498e-06,
|
| 1044 |
+
"loss": 0.0,
|
| 1045 |
+
"step": 12900
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 6.5,
|
| 1049 |
+
"grad_norm": 0.19090694189071655,
|
| 1050 |
+
"learning_rate": 3.624878810473479e-06,
|
| 1051 |
+
"loss": 0.0001,
|
| 1052 |
+
"step": 13000
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 6.55,
|
| 1056 |
+
"grad_norm": 0.014205949380993843,
|
| 1057 |
+
"learning_rate": 3.573102224121908e-06,
|
| 1058 |
+
"loss": 0.2072,
|
| 1059 |
+
"step": 13100
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 6.6,
|
| 1063 |
+
"grad_norm": 0.05406644195318222,
|
| 1064 |
+
"learning_rate": 3.521325637770337e-06,
|
| 1065 |
+
"loss": 0.0,
|
| 1066 |
+
"step": 13200
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 6.65,
|
| 1070 |
+
"grad_norm": 0.004384028259664774,
|
| 1071 |
+
"learning_rate": 3.4695490514187665e-06,
|
| 1072 |
+
"loss": 0.0,
|
| 1073 |
+
"step": 13300
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 6.7,
|
| 1077 |
+
"grad_norm": 0.00611688569188118,
|
| 1078 |
+
"learning_rate": 3.417772465067195e-06,
|
| 1079 |
+
"loss": 0.0,
|
| 1080 |
+
"step": 13400
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 6.75,
|
| 1084 |
+
"grad_norm": 0.0035077868960797787,
|
| 1085 |
+
"learning_rate": 3.365995878715625e-06,
|
| 1086 |
+
"loss": 0.0,
|
| 1087 |
+
"step": 13500
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 6.8,
|
| 1091 |
+
"grad_norm": 0.013541534543037415,
|
| 1092 |
+
"learning_rate": 3.3142192923640536e-06,
|
| 1093 |
+
"loss": 0.0018,
|
| 1094 |
+
"step": 13600
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 6.85,
|
| 1098 |
+
"grad_norm": 0.011575588956475258,
|
| 1099 |
+
"learning_rate": 3.2624427060124823e-06,
|
| 1100 |
+
"loss": 0.0,
|
| 1101 |
+
"step": 13700
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 6.9,
|
| 1105 |
+
"grad_norm": 0.012222085148096085,
|
| 1106 |
+
"learning_rate": 3.210666119660912e-06,
|
| 1107 |
+
"loss": 0.0,
|
| 1108 |
+
"step": 13800
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 6.95,
|
| 1112 |
+
"grad_norm": 0.18693706393241882,
|
| 1113 |
+
"learning_rate": 3.1588895333093407e-06,
|
| 1114 |
+
"loss": 0.0,
|
| 1115 |
+
"step": 13900
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 7.0,
|
| 1119 |
+
"grad_norm": 0.04562217742204666,
|
| 1120 |
+
"learning_rate": 3.10711294695777e-06,
|
| 1121 |
+
"loss": 0.0,
|
| 1122 |
+
"step": 14000
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 7.0,
|
| 1126 |
+
"eval_economic_inequality_accuracy": 0.8035264483627204,
|
| 1127 |
+
"eval_economic_inequality_f1": 0.8050953778684486,
|
| 1128 |
+
"eval_economic_policy_benefits_accuracy": 0.8417508417508418,
|
| 1129 |
+
"eval_economic_policy_benefits_f1": 0.8363986338896733,
|
| 1130 |
+
"eval_ethnic_boundaries_accuracy": 0.9183006535947712,
|
| 1131 |
+
"eval_ethnic_boundaries_f1": 0.9256093210513574,
|
| 1132 |
+
"eval_language_policy_accuracy": 0.7058823529411765,
|
| 1133 |
+
"eval_language_policy_f1": 0.6587850826605153,
|
| 1134 |
+
"eval_loss": NaN,
|
| 1135 |
+
"eval_mother_tongue_education_accuracy": 0.7777777777777778,
|
| 1136 |
+
"eval_mother_tongue_education_f1": 0.7407407407407408,
|
| 1137 |
+
"eval_overall_accuracy": 0.816061278039622,
|
| 1138 |
+
"eval_overall_f1": 0.8032276539443766,
|
| 1139 |
+
"eval_religion_ethnic_identity_accuracy": 0.8491295938104448,
|
| 1140 |
+
"eval_religion_ethnic_identity_f1": 0.8527367674555238,
|
| 1141 |
+
"eval_runtime": 4.4694,
|
| 1142 |
+
"eval_samples_per_second": 894.976,
|
| 1143 |
+
"eval_steps_per_second": 55.936,
|
| 1144 |
+
"step": 14000
|
| 1145 |
+
}
|
| 1146 |
+
],
|
| 1147 |
+
"logging_steps": 100,
|
| 1148 |
+
"max_steps": 20000,
|
| 1149 |
+
"num_input_tokens_seen": 0,
|
| 1150 |
+
"num_train_epochs": 10,
|
| 1151 |
+
"save_steps": 500,
|
| 1152 |
+
"stateful_callbacks": {
|
| 1153 |
+
"EarlyStoppingCallback": {
|
| 1154 |
+
"args": {
|
| 1155 |
+
"early_stopping_patience": 2,
|
| 1156 |
+
"early_stopping_threshold": 0.0
|
| 1157 |
+
},
|
| 1158 |
+
"attributes": {
|
| 1159 |
+
"early_stopping_patience_counter": 2
|
| 1160 |
+
}
|
| 1161 |
+
},
|
| 1162 |
+
"TrainerControl": {
|
| 1163 |
+
"args": {
|
| 1164 |
+
"should_epoch_stop": false,
|
| 1165 |
+
"should_evaluate": false,
|
| 1166 |
+
"should_log": false,
|
| 1167 |
+
"should_save": true,
|
| 1168 |
+
"should_training_stop": true
|
| 1169 |
+
},
|
| 1170 |
+
"attributes": {}
|
| 1171 |
+
}
|
| 1172 |
+
},
|
| 1173 |
+
"total_flos": 2.9472671563776e+16,
|
| 1174 |
+
"train_batch_size": 8,
|
| 1175 |
+
"trial_name": null,
|
| 1176 |
+
"trial_params": {
|
| 1177 |
+
"gradient_accumulation_steps": 1,
|
| 1178 |
+
"learning_rate": 1.0001165419669436e-05,
|
| 1179 |
+
"num_train_epochs": 10,
|
| 1180 |
+
"per_device_train_batch_size": 8,
|
| 1181 |
+
"warmup_steps": 684,
|
| 1182 |
+
"weight_decay": 0.07522641729243515
|
| 1183 |
+
}
|
| 1184 |
+
}
|
run-0/checkpoint-14000/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:84f9f98f39dc377d902877813dc8cf2a83bc674db97d85b5237e673a48a7375f
|
| 3 |
+
size 5777
|
run-1/checkpoint-125/config.json
ADDED
|
@@ -0,0 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"BertForSequenceClassification"
|
| 4 |
+
],
|
| 5 |
+
"attention_probs_dropout_prob": 0.1,
|
| 6 |
+
"classifier_dropout": null,
|
| 7 |
+
"gradient_checkpointing": false,
|
| 8 |
+
"hidden_act": "gelu",
|
| 9 |
+
"hidden_dropout_prob": 0.1,
|
| 10 |
+
"hidden_size": 768,
|
| 11 |
+
"id2label": {
|
| 12 |
+
"0": "LABEL_0",
|
| 13 |
+
"1": "LABEL_1",
|
| 14 |
+
"2": "LABEL_2",
|
| 15 |
+
"3": "LABEL_3",
|
| 16 |
+
"4": "LABEL_4",
|
| 17 |
+
"5": "LABEL_5",
|
| 18 |
+
"6": "LABEL_6",
|
| 19 |
+
"7": "LABEL_7",
|
| 20 |
+
"8": "LABEL_8",
|
| 21 |
+
"9": "LABEL_9",
|
| 22 |
+
"10": "LABEL_10",
|
| 23 |
+
"11": "LABEL_11",
|
| 24 |
+
"12": "LABEL_12",
|
| 25 |
+
"13": "LABEL_13",
|
| 26 |
+
"14": "LABEL_14",
|
| 27 |
+
"15": "LABEL_15",
|
| 28 |
+
"16": "LABEL_16",
|
| 29 |
+
"17": "LABEL_17"
|
| 30 |
+
},
|
| 31 |
+
"initializer_range": 0.02,
|
| 32 |
+
"intermediate_size": 3072,
|
| 33 |
+
"label2id": {
|
| 34 |
+
"LABEL_0": 0,
|
| 35 |
+
"LABEL_1": 1,
|
| 36 |
+
"LABEL_10": 10,
|
| 37 |
+
"LABEL_11": 11,
|
| 38 |
+
"LABEL_12": 12,
|
| 39 |
+
"LABEL_13": 13,
|
| 40 |
+
"LABEL_14": 14,
|
| 41 |
+
"LABEL_15": 15,
|
| 42 |
+
"LABEL_16": 16,
|
| 43 |
+
"LABEL_17": 17,
|
| 44 |
+
"LABEL_2": 2,
|
| 45 |
+
"LABEL_3": 3,
|
| 46 |
+
"LABEL_4": 4,
|
| 47 |
+
"LABEL_5": 5,
|
| 48 |
+
"LABEL_6": 6,
|
| 49 |
+
"LABEL_7": 7,
|
| 50 |
+
"LABEL_8": 8,
|
| 51 |
+
"LABEL_9": 9
|
| 52 |
+
},
|
| 53 |
+
"layer_norm_eps": 1e-12,
|
| 54 |
+
"max_position_embeddings": 512,
|
| 55 |
+
"model_type": "bert",
|
| 56 |
+
"num_attention_heads": 12,
|
| 57 |
+
"num_hidden_layers": 12,
|
| 58 |
+
"pad_token_id": 0,
|
| 59 |
+
"position_embedding_type": "absolute",
|
| 60 |
+
"torch_dtype": "float32",
|
| 61 |
+
"transformers_version": "4.55.4",
|
| 62 |
+
"type_vocab_size": 2,
|
| 63 |
+
"use_cache": true,
|
| 64 |
+
"vocab_size": 30522
|
| 65 |
+
}
|
run-1/checkpoint-125/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:52c4ecf0fb267ca0111315770c7aee028de79177925924f83b69d961b456b023
|
| 3 |
+
size 438007864
|
run-1/checkpoint-125/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9e5c78beddc1acbde04851046ecc37f5d997872403e41288893b923d508aa1b9
|
| 3 |
+
size 876140043
|
run-1/checkpoint-125/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:244592e7bcbeb183331671bf09a9d549c28ce297e22cc46238dcc2c20a3f2316
|
| 3 |
+
size 14645
|
run-1/checkpoint-125/scaler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e3a782a4dbbfc98b2d4cc2a05c2aaf631ec6efdab2dc5da37bf69c5dc9d1ecc7
|
| 3 |
+
size 1383
|
run-1/checkpoint-125/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:01bcb5fa32e2f77da29ee685d4d5939b9a2b96ff847596b59672a93948497cb2
|
| 3 |
+
size 1465
|
run-1/checkpoint-125/trainer_state.json
ADDED
|
@@ -0,0 +1,79 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 125,
|
| 3 |
+
"best_metric": 0.7222001215424422,
|
| 4 |
+
"best_model_checkpoint": "./results/run-1/checkpoint-125",
|
| 5 |
+
"epoch": 1.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 125,
|
| 8 |
+
"is_hyper_param_search": true,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.8,
|
| 14 |
+
"grad_norm": 12.130753517150879,
|
| 15 |
+
"learning_rate": 1.6523003188214528e-05,
|
| 16 |
+
"loss": 1623.5764,
|
| 17 |
+
"step": 100
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 1.0,
|
| 21 |
+
"eval_economic_inequality_accuracy": 0.7770780856423174,
|
| 22 |
+
"eval_economic_inequality_f1": 0.6795991195482776,
|
| 23 |
+
"eval_economic_policy_benefits_accuracy": 0.8215488215488216,
|
| 24 |
+
"eval_economic_policy_benefits_f1": 0.7410643713786043,
|
| 25 |
+
"eval_ethnic_boundaries_accuracy": 0.946078431372549,
|
| 26 |
+
"eval_ethnic_boundaries_f1": 0.9198646713093299,
|
| 27 |
+
"eval_language_policy_accuracy": 0.6764705882352942,
|
| 28 |
+
"eval_language_policy_f1": 0.545923632610939,
|
| 29 |
+
"eval_loss": NaN,
|
| 30 |
+
"eval_mother_tongue_education_accuracy": 0.7777777777777778,
|
| 31 |
+
"eval_mother_tongue_education_f1": 0.6805555555555556,
|
| 32 |
+
"eval_overall_accuracy": 0.8064020197505432,
|
| 33 |
+
"eval_overall_f1": 0.7222001215424422,
|
| 34 |
+
"eval_religion_ethnic_identity_accuracy": 0.839458413926499,
|
| 35 |
+
"eval_religion_ethnic_identity_f1": 0.7661933788519465,
|
| 36 |
+
"eval_runtime": 4.4741,
|
| 37 |
+
"eval_samples_per_second": 894.041,
|
| 38 |
+
"eval_steps_per_second": 55.878,
|
| 39 |
+
"step": 125
|
| 40 |
+
}
|
| 41 |
+
],
|
| 42 |
+
"logging_steps": 100,
|
| 43 |
+
"max_steps": 2000,
|
| 44 |
+
"num_input_tokens_seen": 0,
|
| 45 |
+
"num_train_epochs": 16,
|
| 46 |
+
"save_steps": 500,
|
| 47 |
+
"stateful_callbacks": {
|
| 48 |
+
"EarlyStoppingCallback": {
|
| 49 |
+
"args": {
|
| 50 |
+
"early_stopping_patience": 2,
|
| 51 |
+
"early_stopping_threshold": 0.0
|
| 52 |
+
},
|
| 53 |
+
"attributes": {
|
| 54 |
+
"early_stopping_patience_counter": 0
|
| 55 |
+
}
|
| 56 |
+
},
|
| 57 |
+
"TrainerControl": {
|
| 58 |
+
"args": {
|
| 59 |
+
"should_epoch_stop": false,
|
| 60 |
+
"should_evaluate": false,
|
| 61 |
+
"should_log": false,
|
| 62 |
+
"should_save": true,
|
| 63 |
+
"should_training_stop": false
|
| 64 |
+
},
|
| 65 |
+
"attributes": {}
|
| 66 |
+
}
|
| 67 |
+
},
|
| 68 |
+
"total_flos": 3368305321574400.0,
|
| 69 |
+
"train_batch_size": 32,
|
| 70 |
+
"trial_name": null,
|
| 71 |
+
"trial_params": {
|
| 72 |
+
"gradient_accumulation_steps": 4,
|
| 73 |
+
"learning_rate": 4.305994770261968e-05,
|
| 74 |
+
"num_train_epochs": 16,
|
| 75 |
+
"per_device_train_batch_size": 32,
|
| 76 |
+
"warmup_steps": 258,
|
| 77 |
+
"weight_decay": 0.09399341365652919
|
| 78 |
+
}
|
| 79 |
+
}
|
run-1/checkpoint-125/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4410e061e9e9063477d5b57f26eeda29d8b119aba156a0a7c510c00764b1fd9b
|
| 3 |
+
size 5777
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5777
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4410e061e9e9063477d5b57f26eeda29d8b119aba156a0a7c510c00764b1fd9b
|
| 3 |
size 5777
|