Hugging Face's logo

cwchang
/
formatted_addr

Text2Text Generation
Transformers
TensorBoard
Safetensors
mt5
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
cwchang commited on
Commit
636b69c
•
1 Parent(s): f66ade1

End of training

Browse files
Files changed (4) hide show
  1. README.md +3 -1
  2. all_results.json +4 -4
  3. train_results.json +4 -4
  4. trainer_state.json +7 -7
README.md CHANGED
@@ -3,6 +3,8 @@ license: apache-2.0
3
  base_model: google/mt5-small
4
  tags:
5
  - generated_from_trainer
 
 
6
  model-index:
7
  - name: formatted_addr
8
  results: []
@@ -13,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
13
 
14
  # formatted_addr
15
 
16
- This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
17
 
18
  ## Model description
19
 
 
3
  base_model: google/mt5-small
4
  tags:
5
  - generated_from_trainer
6
+ datasets:
7
+ - cwchang/tw_address_small
8
  model-index:
9
  - name: formatted_addr
10
  results: []
 
15
 
16
  # formatted_addr
17
 
18
+ This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the cwchang/tw_address_small dataset.
19
 
20
  ## Model description
21
 
all_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "epoch": 3.0,
3
- "train_loss": 11.181663004557292,
4
- "train_runtime": 140.1775,
5
  "train_samples": 800,
6
- "train_samples_per_second": 17.121,
7
- "train_steps_per_second": 4.28
8
  }
 
1
  {
2
  "epoch": 3.0,
3
+ "train_loss": 6.107138163248698,
4
+ "train_runtime": 143.5946,
5
  "train_samples": 800,
6
+ "train_samples_per_second": 16.714,
7
+ "train_steps_per_second": 4.178
8
  }
train_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "epoch": 3.0,
3
- "train_loss": 11.181663004557292,
4
- "train_runtime": 140.1775,
5
  "train_samples": 800,
6
- "train_samples_per_second": 17.121,
7
- "train_steps_per_second": 4.28
8
  }
 
1
  {
2
  "epoch": 3.0,
3
+ "train_loss": 6.107138163248698,
4
+ "train_runtime": 143.5946,
5
  "train_samples": 800,
6
+ "train_samples_per_second": 16.714,
7
+ "train_steps_per_second": 4.178
8
  }
trainer_state.json CHANGED
@@ -11,17 +11,17 @@
11
  {
12
  "epoch": 2.5,
13
  "learning_rate": 8.333333333333334e-06,
14
- "loss": 12.2245,
15
  "step": 500
16
  },
17
  {
18
  "epoch": 3.0,
19
  "step": 600,
20
- "total_flos": 17349599232000.0,
21
- "train_loss": 11.181663004557292,
22
- "train_runtime": 140.1775,
23
- "train_samples_per_second": 17.121,
24
- "train_steps_per_second": 4.28
25
  }
26
  ],
27
  "logging_steps": 500,
@@ -29,7 +29,7 @@
29
  "num_input_tokens_seen": 0,
30
  "num_train_epochs": 3,
31
  "save_steps": 500,
32
- "total_flos": 17349599232000.0,
33
  "train_batch_size": 4,
34
  "trial_name": null,
35
  "trial_params": null
 
11
  {
12
  "epoch": 2.5,
13
  "learning_rate": 8.333333333333334e-06,
14
+ "loss": 6.9234,
15
  "step": 500
16
  },
17
  {
18
  "epoch": 3.0,
19
  "step": 600,
20
+ "total_flos": 52647771955200.0,
21
+ "train_loss": 6.107138163248698,
22
+ "train_runtime": 143.5946,
23
+ "train_samples_per_second": 16.714,
24
+ "train_steps_per_second": 4.178
25
  }
26
  ],
27
  "logging_steps": 500,
 
29
  "num_input_tokens_seen": 0,
30
  "num_train_epochs": 3,
31
  "save_steps": 500,
32
+ "total_flos": 52647771955200.0,
33
  "train_batch_size": 4,
34
  "trial_name": null,
35
  "trial_params": null