Model save

README.md

@@ -0,0 +1,71 @@
+---
+license: mit
+base_model: facebook/w2v-bert-2.0
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: wav2vec2-bert-CV16-en-libri
+  results: []
+---
+
+<!-- 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. -->
+
+# wav2vec2-bert-CV16-en-libri
+
+This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2870
+- Wer: 0.2577
+- Cer: 0.0659
+
+## 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: 12
+- eval_batch_size: 12
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 3
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 72
+- total_eval_batch_size: 36
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 10000
+- num_epochs: 3.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
+| 2.8812        | 0.63  | 250  | 2.8923          | 1.0    | 1.0000 |
+| 1.2899        | 1.26  | 500  | 1.1471          | 0.7030 | 0.2563 |
+| 0.5276        | 1.89  | 750  | 0.4687          | 0.4114 | 0.1127 |
+| 0.3313        | 2.52  | 1000 | 0.2870          | 0.2577 | 0.0659 |
+
+
+### Framework versions
+
+- Transformers 4.37.0.dev0
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

emissions.csv

@@ -0,0 +1,2 @@
+timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region
+2024-01-16T12:18:10,100ce0c1-abd3-4e89-a129-ac49a10532a2,codecarbon,5727.051881551743,0.48059596920304154,1.131922185780931,France,FRA,île-de-france,N,,

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:616db20c0308312afa7b216c415e6f34b53ff3a70a11908d6518efa102a32613
+oid sha256:f77bb4b7022603caca2aecc74c9cc0116d069255aedd64e77f0f43e5ccd5aab3
 size 2422949860

runs/Jan16_10-42-05_vorace/events.out.tfevents.1705401761.vorace.462641.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:43cda48ef96a461bf9cdbb001ac96c8566467d001c6ac2c0c276524fb28eb8df
-size 21994
+oid sha256:42caaacad21a949320a0dd9500bb07cbb66c498c558b15f610335904feb86514
+size 44587