End of training
Browse files- README.md +21 -6
- all_results.json +17 -0
- eval_results.json +11 -0
- logs/events.out.tfevents.1744815383.s_004_m +3 -0
- train_results.json +9 -0
- trainer_state.json +138 -0
README.md
CHANGED
|
@@ -1,12 +1,27 @@
|
|
| 1 |
---
|
|
|
|
|
|
|
| 2 |
base_model: Hartunka/tiny_bert_km_50_v1
|
| 3 |
tags:
|
| 4 |
- generated_from_trainer
|
|
|
|
|
|
|
| 5 |
metrics:
|
| 6 |
- spearmanr
|
| 7 |
model-index:
|
| 8 |
- name: tiny_bert_km_50_v1_stsb
|
| 9 |
-
results:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 10 |
---
|
| 11 |
|
| 12 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
@@ -14,12 +29,12 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 14 |
|
| 15 |
# tiny_bert_km_50_v1_stsb
|
| 16 |
|
| 17 |
-
This model is a fine-tuned version of [Hartunka/tiny_bert_km_50_v1](https://huggingface.co/Hartunka/tiny_bert_km_50_v1) on
|
| 18 |
It achieves the following results on the evaluation set:
|
| 19 |
-
- Loss: 2.
|
| 20 |
-
- Pearson: 0.
|
| 21 |
-
- Spearmanr: 0.
|
| 22 |
-
- Combined Score: 0.
|
| 23 |
|
| 24 |
## Model description
|
| 25 |
|
|
|
|
| 1 |
---
|
| 2 |
+
language:
|
| 3 |
+
- en
|
| 4 |
base_model: Hartunka/tiny_bert_km_50_v1
|
| 5 |
tags:
|
| 6 |
- generated_from_trainer
|
| 7 |
+
datasets:
|
| 8 |
+
- glue
|
| 9 |
metrics:
|
| 10 |
- spearmanr
|
| 11 |
model-index:
|
| 12 |
- name: tiny_bert_km_50_v1_stsb
|
| 13 |
+
results:
|
| 14 |
+
- task:
|
| 15 |
+
name: Text Classification
|
| 16 |
+
type: text-classification
|
| 17 |
+
dataset:
|
| 18 |
+
name: GLUE STSB
|
| 19 |
+
type: glue
|
| 20 |
+
args: stsb
|
| 21 |
+
metrics:
|
| 22 |
+
- name: Spearmanr
|
| 23 |
+
type: spearmanr
|
| 24 |
+
value: 0.18233475301431837
|
| 25 |
---
|
| 26 |
|
| 27 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 29 |
|
| 30 |
# tiny_bert_km_50_v1_stsb
|
| 31 |
|
| 32 |
+
This model is a fine-tuned version of [Hartunka/tiny_bert_km_50_v1](https://huggingface.co/Hartunka/tiny_bert_km_50_v1) on the GLUE STSB dataset.
|
| 33 |
It achieves the following results on the evaluation set:
|
| 34 |
+
- Loss: 2.2276
|
| 35 |
+
- Pearson: 0.1924
|
| 36 |
+
- Spearmanr: 0.1823
|
| 37 |
+
- Combined Score: 0.1873
|
| 38 |
|
| 39 |
## Model description
|
| 40 |
|
all_results.json
ADDED
|
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 6.0,
|
| 3 |
+
"eval_combined_score": 0.18734264198444261,
|
| 4 |
+
"eval_loss": 2.227576732635498,
|
| 5 |
+
"eval_pearson": 0.1923505309545669,
|
| 6 |
+
"eval_runtime": 0.5688,
|
| 7 |
+
"eval_samples": 1500,
|
| 8 |
+
"eval_samples_per_second": 2637.316,
|
| 9 |
+
"eval_spearmanr": 0.18233475301431837,
|
| 10 |
+
"eval_steps_per_second": 10.549,
|
| 11 |
+
"total_flos": 904528923227136.0,
|
| 12 |
+
"train_loss": 2.1353097998577617,
|
| 13 |
+
"train_runtime": 31.7448,
|
| 14 |
+
"train_samples": 5749,
|
| 15 |
+
"train_samples_per_second": 9055.015,
|
| 16 |
+
"train_steps_per_second": 36.226
|
| 17 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 6.0,
|
| 3 |
+
"eval_combined_score": 0.18734264198444261,
|
| 4 |
+
"eval_loss": 2.227576732635498,
|
| 5 |
+
"eval_pearson": 0.1923505309545669,
|
| 6 |
+
"eval_runtime": 0.5688,
|
| 7 |
+
"eval_samples": 1500,
|
| 8 |
+
"eval_samples_per_second": 2637.316,
|
| 9 |
+
"eval_spearmanr": 0.18233475301431837,
|
| 10 |
+
"eval_steps_per_second": 10.549
|
| 11 |
+
}
|
logs/events.out.tfevents.1744815383.s_004_m
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:947e2a1212fb3207fc458f074c39011e0b5af595a3cb242b553c320082a76754
|
| 3 |
+
size 40
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 6.0,
|
| 3 |
+
"total_flos": 904528923227136.0,
|
| 4 |
+
"train_loss": 2.1353097998577617,
|
| 5 |
+
"train_runtime": 31.7448,
|
| 6 |
+
"train_samples": 5749,
|
| 7 |
+
"train_samples_per_second": 9055.015,
|
| 8 |
+
"train_steps_per_second": 36.226
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,138 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 2.227576732635498,
|
| 3 |
+
"best_model_checkpoint": "tiny_bert_km_50_v1_stsb/checkpoint-23",
|
| 4 |
+
"epoch": 6.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 138,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 1.0,
|
| 13 |
+
"grad_norm": 4.95888090133667,
|
| 14 |
+
"learning_rate": 4.9e-05,
|
| 15 |
+
"loss": 3.8515,
|
| 16 |
+
"step": 23
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 1.0,
|
| 20 |
+
"eval_combined_score": 0.18734264198444261,
|
| 21 |
+
"eval_loss": 2.227576732635498,
|
| 22 |
+
"eval_pearson": 0.1923505309545669,
|
| 23 |
+
"eval_runtime": 0.5509,
|
| 24 |
+
"eval_samples_per_second": 2722.84,
|
| 25 |
+
"eval_spearmanr": 0.18233475301431837,
|
| 26 |
+
"eval_steps_per_second": 10.891,
|
| 27 |
+
"step": 23
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 2.0,
|
| 31 |
+
"grad_norm": 8.362377166748047,
|
| 32 |
+
"learning_rate": 4.8e-05,
|
| 33 |
+
"loss": 2.1315,
|
| 34 |
+
"step": 46
|
| 35 |
+
},
|
| 36 |
+
{
|
| 37 |
+
"epoch": 2.0,
|
| 38 |
+
"eval_combined_score": 0.2089354886210551,
|
| 39 |
+
"eval_loss": 2.2513928413391113,
|
| 40 |
+
"eval_pearson": 0.21651479454360775,
|
| 41 |
+
"eval_runtime": 0.5991,
|
| 42 |
+
"eval_samples_per_second": 2503.728,
|
| 43 |
+
"eval_spearmanr": 0.20135618269850244,
|
| 44 |
+
"eval_steps_per_second": 10.015,
|
| 45 |
+
"step": 46
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 3.0,
|
| 49 |
+
"grad_norm": 3.1979072093963623,
|
| 50 |
+
"learning_rate": 4.7e-05,
|
| 51 |
+
"loss": 1.9864,
|
| 52 |
+
"step": 69
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 3.0,
|
| 56 |
+
"eval_combined_score": 0.19251859064923532,
|
| 57 |
+
"eval_loss": 2.2710776329040527,
|
| 58 |
+
"eval_pearson": 0.1966087155320278,
|
| 59 |
+
"eval_runtime": 0.6964,
|
| 60 |
+
"eval_samples_per_second": 2154.04,
|
| 61 |
+
"eval_spearmanr": 0.18842846576644287,
|
| 62 |
+
"eval_steps_per_second": 8.616,
|
| 63 |
+
"step": 69
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"epoch": 4.0,
|
| 67 |
+
"grad_norm": 4.702291488647461,
|
| 68 |
+
"learning_rate": 4.600000000000001e-05,
|
| 69 |
+
"loss": 1.8498,
|
| 70 |
+
"step": 92
|
| 71 |
+
},
|
| 72 |
+
{
|
| 73 |
+
"epoch": 4.0,
|
| 74 |
+
"eval_combined_score": 0.21904044995109873,
|
| 75 |
+
"eval_loss": 2.3629276752471924,
|
| 76 |
+
"eval_pearson": 0.22169527715203102,
|
| 77 |
+
"eval_runtime": 0.5734,
|
| 78 |
+
"eval_samples_per_second": 2616.115,
|
| 79 |
+
"eval_spearmanr": 0.2163856227501664,
|
| 80 |
+
"eval_steps_per_second": 10.464,
|
| 81 |
+
"step": 92
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 5.0,
|
| 85 |
+
"grad_norm": 6.9626946449279785,
|
| 86 |
+
"learning_rate": 4.5e-05,
|
| 87 |
+
"loss": 1.6182,
|
| 88 |
+
"step": 115
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"epoch": 5.0,
|
| 92 |
+
"eval_combined_score": 0.24536057902618041,
|
| 93 |
+
"eval_loss": 2.371917724609375,
|
| 94 |
+
"eval_pearson": 0.24478048351146486,
|
| 95 |
+
"eval_runtime": 0.6115,
|
| 96 |
+
"eval_samples_per_second": 2453.097,
|
| 97 |
+
"eval_spearmanr": 0.24594067454089594,
|
| 98 |
+
"eval_steps_per_second": 9.812,
|
| 99 |
+
"step": 115
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 6.0,
|
| 103 |
+
"grad_norm": 7.2307891845703125,
|
| 104 |
+
"learning_rate": 4.4000000000000006e-05,
|
| 105 |
+
"loss": 1.3745,
|
| 106 |
+
"step": 138
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"epoch": 6.0,
|
| 110 |
+
"eval_combined_score": 0.24094916196629926,
|
| 111 |
+
"eval_loss": 2.4488790035247803,
|
| 112 |
+
"eval_pearson": 0.2402419127861277,
|
| 113 |
+
"eval_runtime": 0.5723,
|
| 114 |
+
"eval_samples_per_second": 2621.166,
|
| 115 |
+
"eval_spearmanr": 0.24165641114647082,
|
| 116 |
+
"eval_steps_per_second": 10.485,
|
| 117 |
+
"step": 138
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 6.0,
|
| 121 |
+
"step": 138,
|
| 122 |
+
"total_flos": 904528923227136.0,
|
| 123 |
+
"train_loss": 2.1353097998577617,
|
| 124 |
+
"train_runtime": 31.7448,
|
| 125 |
+
"train_samples_per_second": 9055.015,
|
| 126 |
+
"train_steps_per_second": 36.226
|
| 127 |
+
}
|
| 128 |
+
],
|
| 129 |
+
"logging_steps": 1,
|
| 130 |
+
"max_steps": 1150,
|
| 131 |
+
"num_input_tokens_seen": 0,
|
| 132 |
+
"num_train_epochs": 50,
|
| 133 |
+
"save_steps": 500,
|
| 134 |
+
"total_flos": 904528923227136.0,
|
| 135 |
+
"train_batch_size": 256,
|
| 136 |
+
"trial_name": null,
|
| 137 |
+
"trial_params": null
|
| 138 |
+
}
|