End of training
Browse files- .ipynb_checkpoints/trainer_state-checkpoint.json +442 -0
- README.md +54 -0
- config.json +117 -0
- model.safetensors +3 -0
- trainer_state.json +442 -0
- training_args.bin +3 -0
.ipynb_checkpoints/trainer_state-checkpoint.json
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|
README.md
ADDED
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|
1 |
+
---
|
2 |
+
tags:
|
3 |
+
- generated_from_trainer
|
4 |
+
model-index:
|
5 |
+
- name: wave2vec2-xlsr-Persian
|
6 |
+
results: []
|
7 |
+
---
|
8 |
+
|
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 |
+
# wave2vec2-xlsr-Persian
|
13 |
+
|
14 |
+
This model was trained from scratch on an unknown dataset.
|
15 |
+
It achieves the following results on the evaluation set:
|
16 |
+
- epoch: 2.9410
|
17 |
+
- eval_loss: 0.2426
|
18 |
+
- eval_runtime: 548.9964
|
19 |
+
- eval_samples_per_second: 16.299
|
20 |
+
- eval_steps_per_second: 2.038
|
21 |
+
- eval_wer: 0.2340
|
22 |
+
- step: 250000
|
23 |
+
|
24 |
+
## Model description
|
25 |
+
|
26 |
+
More information needed
|
27 |
+
|
28 |
+
## Intended uses & limitations
|
29 |
+
|
30 |
+
More information needed
|
31 |
+
|
32 |
+
## Training and evaluation data
|
33 |
+
|
34 |
+
More information needed
|
35 |
+
|
36 |
+
## Training procedure
|
37 |
+
|
38 |
+
### Training hyperparameters
|
39 |
+
|
40 |
+
The following hyperparameters were used during training:
|
41 |
+
- learning_rate: 5e-05
|
42 |
+
- train_batch_size: 8
|
43 |
+
- eval_batch_size: 8
|
44 |
+
- seed: 42
|
45 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
46 |
+
- lr_scheduler_type: linear
|
47 |
+
- num_epochs: 3.0
|
48 |
+
|
49 |
+
### Framework versions
|
50 |
+
|
51 |
+
- Transformers 4.44.0
|
52 |
+
- Pytorch 2.4.0.dev20240522
|
53 |
+
- Datasets 2.19.1
|
54 |
+
- Tokenizers 0.19.1
|
config.json
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@@ -0,0 +1,117 @@
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{
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"_name_or_path": "./wave2vec2-xlsr-Persian/checkpoint-255012",
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"activation_dropout": 0.0,
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"apply_spec_augment": true,
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"architectures": [
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"Wav2Vec2ForCTC"
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],
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"classifier_proj_size": 256,
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"codevector_dim": 768,
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"conv_bias": true,
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"conv_dim": [
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],
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"conv_kernel": [
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"conv_stride": [
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],
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"layer_norm_eps": 1e-05,
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model.safetensors
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