Priyanship commited on
Commit
debf94e
·
verified ·
1 Parent(s): d5ea7b1

Model save

Browse files
Files changed (1) hide show
  1. README.md +13 -9
README.md CHANGED
@@ -1,6 +1,8 @@
1
  ---
2
  tags:
3
  - generated_from_trainer
 
 
4
  model-index:
5
  - name: s300_shuff100
6
  results: []
@@ -9,19 +11,14 @@ model-index:
9
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
10
  should probably proofread and complete it, then remove this comment. -->
11
 
12
- [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/priyanshipal/huggingface/runs/64250v6u)
13
  # s300_shuff100
14
 
15
  This model was trained from scratch on an unknown dataset.
16
  It achieves the following results on the evaluation set:
17
- - eval_loss: nan
18
- - eval_model_preparation_time: 0.0045
19
- - eval_cer: 1.0
20
- - eval_wer: 1.0
21
- - eval_runtime: 30.9217
22
- - eval_samples_per_second: 18.498
23
- - eval_steps_per_second: 1.164
24
- - step: 0
25
 
26
  ## Model description
27
 
@@ -52,6 +49,13 @@ The following hyperparameters were used during training:
52
  - training_steps: 1000
53
  - mixed_precision_training: Native AMP
54
 
 
 
 
 
 
 
 
55
  ### Framework versions
56
 
57
  - Transformers 4.43.1
 
1
  ---
2
  tags:
3
  - generated_from_trainer
4
+ metrics:
5
+ - wer
6
  model-index:
7
  - name: s300_shuff100
8
  results: []
 
11
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
  should probably proofread and complete it, then remove this comment. -->
13
 
14
+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/priyanshipal/huggingface/runs/ed2pxb18)
15
  # s300_shuff100
16
 
17
  This model was trained from scratch on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
+ - Loss: 1.5010
20
+ - Cer: 0.3090
21
+ - Wer: 0.4351
 
 
 
 
 
22
 
23
  ## Model description
24
 
 
49
  - training_steps: 1000
50
  - mixed_precision_training: Native AMP
51
 
52
+ ### Training results
53
+
54
+ | Training Loss | Epoch | Step | Validation Loss | Cer | Wer |
55
+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
56
+ | 0.972 | 1.6 | 1000 | 1.5010 | 0.3090 | 0.4351 |
57
+
58
+
59
  ### Framework versions
60
 
61
  - Transformers 4.43.1