be2be2/et5-typos-maker
Browse files- README.md +85 -0
- config.json +31 -0
- generation_config.json +6 -0
- model.safetensors +3 -0
- runs/Aug17_17-00-28_4fbe18cadcab/events.out.tfevents.1755450067.4fbe18cadcab.287.0 +3 -0
- special_tokens_map.json +23 -0
- spiece.model +3 -0
- tokenizer_config.json +40 -0
- training_args.bin +3 -0
README.md
ADDED
|
@@ -0,0 +1,85 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
license: apache-2.0
|
| 4 |
+
base_model: j5ng/et5-typos-corrector
|
| 5 |
+
tags:
|
| 6 |
+
- generated_from_trainer
|
| 7 |
+
metrics:
|
| 8 |
+
- rouge
|
| 9 |
+
model-index:
|
| 10 |
+
- name: make_err_ft_results
|
| 11 |
+
results: []
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 15 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 16 |
+
|
| 17 |
+
# make_err_ft_results
|
| 18 |
+
|
| 19 |
+
This model is a fine-tuned version of [j5ng/et5-typos-corrector](https://huggingface.co/j5ng/et5-typos-corrector) on the None dataset.
|
| 20 |
+
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 0.9276
|
| 22 |
+
- Rouge1: 0.0
|
| 23 |
+
- Rouge2: 0.0
|
| 24 |
+
- Rougel: 0.0
|
| 25 |
+
- Rougelsum: 0.0
|
| 26 |
+
- Gen Len: 12.1935
|
| 27 |
+
|
| 28 |
+
## Model description
|
| 29 |
+
|
| 30 |
+
More information needed
|
| 31 |
+
|
| 32 |
+
## Intended uses & limitations
|
| 33 |
+
|
| 34 |
+
More information needed
|
| 35 |
+
|
| 36 |
+
## Training and evaluation data
|
| 37 |
+
|
| 38 |
+
More information needed
|
| 39 |
+
|
| 40 |
+
## Training procedure
|
| 41 |
+
|
| 42 |
+
### Training hyperparameters
|
| 43 |
+
|
| 44 |
+
The following hyperparameters were used during training:
|
| 45 |
+
- learning_rate: 2e-05
|
| 46 |
+
- train_batch_size: 8
|
| 47 |
+
- eval_batch_size: 8
|
| 48 |
+
- seed: 42
|
| 49 |
+
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 50 |
+
- lr_scheduler_type: linear
|
| 51 |
+
- num_epochs: 2
|
| 52 |
+
- mixed_precision_training: Native AMP
|
| 53 |
+
|
| 54 |
+
### Training results
|
| 55 |
+
|
| 56 |
+
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|
| 57 |
+
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
|
| 58 |
+
| 2.7078 | 0.1 | 100 | 1.7370 | 0.0 | 0.0 | 0.0 | 0.0 | 11.7045 |
|
| 59 |
+
| 1.7594 | 0.2 | 200 | 1.4867 | 0.0 | 0.0 | 0.0 | 0.0 | 11.7515 |
|
| 60 |
+
| 1.5496 | 0.3 | 300 | 1.3286 | 0.0 | 0.0 | 0.0 | 0.0 | 11.834 |
|
| 61 |
+
| 1.429 | 0.4 | 400 | 1.2470 | 0.0 | 0.0 | 0.0 | 0.0 | 12.003 |
|
| 62 |
+
| 1.3714 | 0.5 | 500 | 1.1811 | 0.0 | 0.0 | 0.0 | 0.0 | 12.0145 |
|
| 63 |
+
| 1.2822 | 0.6 | 600 | 1.1452 | 0.0 | 0.0 | 0.0 | 0.0 | 11.999 |
|
| 64 |
+
| 1.2407 | 0.7 | 700 | 1.0803 | 0.0 | 0.0 | 0.0 | 0.0 | 12.092 |
|
| 65 |
+
| 1.1908 | 0.8 | 800 | 1.0616 | 0.0 | 0.0 | 0.0 | 0.0 | 12.023 |
|
| 66 |
+
| 1.1535 | 0.9 | 900 | 1.0261 | 0.0 | 0.0 | 0.0 | 0.0 | 12.1115 |
|
| 67 |
+
| 1.1341 | 1.0 | 1000 | 1.0039 | 0.0 | 0.0 | 0.0 | 0.0 | 12.1475 |
|
| 68 |
+
| 0.9145 | 1.1 | 1100 | 0.9805 | 0.0 | 0.0 | 0.0 | 0.0 | 12.185 |
|
| 69 |
+
| 0.9111 | 1.2 | 1200 | 0.9741 | 0.0 | 0.0 | 0.0 | 0.0 | 12.3435 |
|
| 70 |
+
| 0.8736 | 1.3 | 1300 | 0.9667 | 0.0 | 0.0 | 0.0 | 0.0 | 12.147 |
|
| 71 |
+
| 0.855 | 1.4 | 1400 | 0.9600 | 0.0 | 0.0 | 0.0 | 0.0 | 12.21 |
|
| 72 |
+
| 0.8754 | 1.5 | 1500 | 0.9506 | 0.0 | 0.0 | 0.0 | 0.0 | 12.1465 |
|
| 73 |
+
| 0.8576 | 1.6 | 1600 | 0.9418 | 0.0 | 0.0 | 0.0 | 0.0 | 12.1645 |
|
| 74 |
+
| 0.8518 | 1.7 | 1700 | 0.9329 | 0.0 | 0.0 | 0.0 | 0.0 | 12.2435 |
|
| 75 |
+
| 0.8322 | 1.8 | 1800 | 0.9321 | 0.0 | 0.0 | 0.0 | 0.0 | 12.1975 |
|
| 76 |
+
| 0.8275 | 1.9 | 1900 | 0.9304 | 0.0 | 0.0 | 0.0 | 0.0 | 12.1885 |
|
| 77 |
+
| 0.8157 | 2.0 | 2000 | 0.9276 | 0.0 | 0.0 | 0.0 | 0.0 | 12.1935 |
|
| 78 |
+
|
| 79 |
+
|
| 80 |
+
### Framework versions
|
| 81 |
+
|
| 82 |
+
- Transformers 4.55.1
|
| 83 |
+
- Pytorch 2.6.0+cu124
|
| 84 |
+
- Datasets 4.0.0
|
| 85 |
+
- Tokenizers 0.21.4
|
config.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"T5ForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"classifier_dropout": 0.0,
|
| 6 |
+
"d_ff": 3072,
|
| 7 |
+
"d_kv": 64,
|
| 8 |
+
"d_model": 768,
|
| 9 |
+
"decoder_start_token_id": 0,
|
| 10 |
+
"dense_act_fn": "gelu_new",
|
| 11 |
+
"dropout_rate": 0.1,
|
| 12 |
+
"eos_token_id": 1,
|
| 13 |
+
"feed_forward_proj": "gated-gelu",
|
| 14 |
+
"initializer_factor": 1.0,
|
| 15 |
+
"is_encoder_decoder": true,
|
| 16 |
+
"is_gated_act": true,
|
| 17 |
+
"layer_norm_epsilon": 1e-06,
|
| 18 |
+
"model_type": "t5",
|
| 19 |
+
"num_decoder_layers": 12,
|
| 20 |
+
"num_heads": 12,
|
| 21 |
+
"num_layers": 12,
|
| 22 |
+
"pad_token_id": 0,
|
| 23 |
+
"relative_attention_max_distance": 128,
|
| 24 |
+
"relative_attention_num_buckets": 32,
|
| 25 |
+
"tie_word_embeddings": false,
|
| 26 |
+
"tokenizer_class": "T5Tokenizer",
|
| 27 |
+
"torch_dtype": "float32",
|
| 28 |
+
"transformers_version": "4.55.1",
|
| 29 |
+
"use_cache": true,
|
| 30 |
+
"vocab_size": 45100
|
| 31 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"decoder_start_token_id": 0,
|
| 3 |
+
"eos_token_id": 1,
|
| 4 |
+
"pad_token_id": 0,
|
| 5 |
+
"transformers_version": "4.55.1"
|
| 6 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cd5e64fcf29664febf34ed4db70f3278a128b9993d29bb5004fef078f6a7d7c5
|
| 3 |
+
size 1296537480
|
runs/Aug17_17-00-28_4fbe18cadcab/events.out.tfevents.1755450067.4fbe18cadcab.287.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:81c69bbc786a0b4f2be2cb8ab5bb7480f6048c3426619988b475d1afd4ff7c38
|
| 3 |
+
size 20339
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"eos_token": {
|
| 3 |
+
"content": "</s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"pad_token": {
|
| 10 |
+
"content": "<pad>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"unk_token": {
|
| 17 |
+
"content": "<unk>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
}
|
| 23 |
+
}
|
spiece.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0ebba0a7b0fadda80677fe980264027fd8c51f822c486201b39dfdfe8804a570
|
| 3 |
+
size 1196021
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": true,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"0": {
|
| 5 |
+
"content": "<pad>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"1": {
|
| 13 |
+
"content": "</s>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"2": {
|
| 21 |
+
"content": "<unk>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
}
|
| 28 |
+
},
|
| 29 |
+
"additional_special_tokens": [],
|
| 30 |
+
"clean_up_tokenization_spaces": true,
|
| 31 |
+
"eos_token": "</s>",
|
| 32 |
+
"extra_ids": 0,
|
| 33 |
+
"extra_special_tokens": {},
|
| 34 |
+
"legacy": true,
|
| 35 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 36 |
+
"pad_token": "<pad>",
|
| 37 |
+
"sp_model_kwargs": {},
|
| 38 |
+
"tokenizer_class": "T5Tokenizer",
|
| 39 |
+
"unk_token": "<unk>"
|
| 40 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4a678f2d2f76ee1c999dac9c37a8841cfb2e15cd25ddabc5d5a6149c3dc1f3cc
|
| 3 |
+
size 5496
|