End of training

README.md

@@ -1,199 +1,101 @@
 ---
 library_name: transformers
-tags: []
+license: apache-2.0
+base_model: Samuael/geez-asr
+tags:
+- generated_from_trainer
+datasets:
+- alffa_amharic
+metrics:
+- wer
+model-index:
+- name: ethiopic-asr
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: alffa_amharic
+      type: alffa_amharic
+      config: clean
+      split: None
+      args: clean
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.14692601597777005
 ---
 
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
-
-
-
-## Model Details
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-### Model Description
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-<!-- Provide a longer summary of what this model is. -->
-
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
-
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+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# ethiopic-asr
+
+This model is a fine-tuned version of [Samuael/geez-asr](https://huggingface.co/Samuael/geez-asr) on the alffa_amharic dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1301
+- Wer: 0.1469
+- Phoneme Cer: 0.0296
+- Cer: 0.0416
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 3e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer    | Phoneme Cer | Cer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|:-----------:|:------:|
+| No log        | 0.0442 | 200  | 3.2216          | 1.0    | 1.0         | 1.0    |
+| No log        | 0.0883 | 400  | 3.1164          | 1.0    | 1.0         | 1.0    |
+| 4.1769        | 0.1325 | 600  | 0.9628          | 0.5476 | 0.1141      | 0.1609 |
+| 4.1769        | 0.1767 | 800  | 0.3181          | 0.2150 | 0.0430      | 0.0607 |
+| 0.8455        | 0.2208 | 1000 | 0.2195          | 0.1759 | 0.0353      | 0.0503 |
+| 0.8455        | 0.2650 | 1200 | 0.1913          | 0.1846 | 0.0365      | 0.0520 |
+| 0.8455        | 0.3092 | 1400 | 0.1699          | 0.1591 | 0.0322      | 0.0454 |
+| 0.2929        | 0.3534 | 1600 | 0.1603          | 0.1572 | 0.0316      | 0.0442 |
+| 0.2929        | 0.3975 | 1800 | 0.1503          | 0.1567 | 0.0315      | 0.0442 |
+| 0.2392        | 0.4417 | 2000 | 0.1476          | 0.1587 | 0.0318      | 0.0446 |
+| 0.2392        | 0.4859 | 2200 | 0.1449          | 0.1565 | 0.0312      | 0.0438 |
+| 0.2392        | 0.5300 | 2400 | 0.1409          | 0.1537 | 0.0308      | 0.0427 |
+| 0.2166        | 0.5742 | 2600 | 0.1395          | 0.1551 | 0.0308      | 0.0428 |
+| 0.2166        | 0.6184 | 2800 | 0.1345          | 0.1469 | 0.0290      | 0.0410 |
+| 0.2068        | 0.6625 | 3000 | 0.1331          | 0.1509 | 0.0297      | 0.0419 |
+| 0.2068        | 0.7067 | 3200 | 0.1346          | 0.1518 | 0.0301      | 0.0421 |
+| 0.2068        | 0.7509 | 3400 | 0.1335          | 0.1507 | 0.0303      | 0.0426 |
+| 0.2037        | 0.7951 | 3600 | 0.1312          | 0.1471 | 0.0297      | 0.0415 |
+| 0.2037        | 0.8392 | 3800 | 0.1303          | 0.1438 | 0.0289      | 0.0406 |
+| 0.1985        | 0.8834 | 4000 | 0.1300          | 0.1457 | 0.0292      | 0.0410 |
+| 0.1985        | 0.9276 | 4200 | 0.1303          | 0.1471 | 0.0295      | 0.0414 |
+| 0.1985        | 0.9717 | 4400 | 0.1301          | 0.1469 | 0.0296      | 0.0416 |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.0

config.json

@@ -0,0 +1,117 @@
+{
+  "_name_or_path": "Samuael/geez-asr",
+  "activation_dropout": 0.0,
+  "adapter_attn_dim": null,
+  "adapter_kernel_size": 3,
+  "adapter_stride": 2,
+  "add_adapter": false,
+  "apply_spec_augment": true,
+  "architectures": [
+    "Wav2Vec2ForCTC"
+  ],
+  "attention_dropout": 0.1,
+  "bos_token_id": 1,
+  "classifier_proj_size": 256,
+  "codevector_dim": 768,
+  "contrastive_logits_temperature": 0.1,
+  "conv_bias": true,
+  "conv_dim": [
+    512,
+    512,
+    512,
+    512,
+    512,
+    512,
+    512
+  ],
+  "conv_kernel": [
+    10,
+    3,
+    3,
+    3,
+    3,
+    2,
+    2
+  ],
+  "conv_stride": [
+    5,
+    2,
+    2,
+    2,
+    2,
+    2,
+    2
+  ],
+  "ctc_loss_reduction": "mean",
+  "ctc_zero_infinity": false,
+  "diversity_loss_weight": 0.1,
+  "do_stable_layer_norm": true,
+  "eos_token_id": 2,
+  "feat_extract_activation": "gelu",
+  "feat_extract_dropout": 0.0,
+  "feat_extract_norm": "layer",
+  "feat_proj_dropout": 0.1,
+  "feat_quantizer_dropout": 0.0,
+  "final_dropout": 0.0,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.1,
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-05,
+  "layerdrop": 0.1,
+  "mask_channel_length": 10,
+  "mask_channel_min_space": 1,
+  "mask_channel_other": 0.0,
+  "mask_channel_prob": 0.0,
+  "mask_channel_selection": "static",
+  "mask_feature_length": 10,
+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.0,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_min_space": 1,
+  "mask_time_other": 0.0,
+  "mask_time_prob": 0.075,
+  "mask_time_selection": "static",
+  "model_type": "wav2vec2",
+  "num_adapter_layers": 3,
+  "num_attention_heads": 16,
+  "num_codevector_groups": 2,
+  "num_codevectors_per_group": 320,
+  "num_conv_pos_embedding_groups": 16,
+  "num_conv_pos_embeddings": 128,
+  "num_feat_extract_layers": 7,
+  "num_hidden_layers": 24,
+  "num_negatives": 100,
+  "output_hidden_size": 1024,
+  "pad_token_id": 0,
+  "proj_codevector_dim": 768,
+  "tdnn_dilation": [
+    1,
+    2,
+    3,
+    1,
+    1
+  ],
+  "tdnn_dim": [
+    512,
+    512,
+    512,
+    512,
+    1500
+  ],
+  "tdnn_kernel": [
+    5,
+    3,
+    3,
+    1,
+    1
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.1",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 39,
+  "xvector_output_dim": 512
+}

model.safetensors

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preprocessor_config.json

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+{
+  "do_normalize": true,
+  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
+  "feature_size": 1,
+  "padding_side": "right",
+  "padding_value": 0.0,
+  "return_attention_mask": false,
+  "sampling_rate": 16000
+}

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