Automatic Speech Recognition
NeMo
ONNX
GGUF
English
parakeet
tdt
speaker-adaptation
english
tech-vocabulary
irish-english
dictation
fritter
Instructions to use Fritter-ASR/Fritter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use Fritter-ASR/Fritter with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("Fritter-ASR/Fritter") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Weights from run r46-general (pushed by pipeline; card not yet updated)
Browse files- Fritter.nemo +1 -1
- training/r46-general/config.json +66 -0
- training/r46-general/result.json +71 -0
Fritter.nemo
CHANGED
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 2472212480
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version https://git-lfs.github.com/spec/v1
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oid sha256:71694e545c184aeaab6376050fac28632a65905e64ab0c975c4e81c8f98872c5
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size 2472212480
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training/r46-general/config.json
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{
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"run": "r46-general",
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"base_model": "nvidia/parakeet-tdt-0.6b-v2",
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"delta_old_ratio": 3.0,
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"init_from": "runs/r39-general/model.nemo",
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"parent": "r39-general",
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"rav_sha": "958915c0562abc39b5aa3f6b8787b8078b08f8c3",
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"data": "general",
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"english_share": null,
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"replay_share": 0.1,
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"speed_perturb": {
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"prob": 1.0,
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"sr": 16000,
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"resample_type": "kaiser_fast",
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"min_speed_rate": 0.9,
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"max_speed_rate": 1.1,
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"num_rates": 3
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},
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"avg_last": 0,
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"max_rows": null,
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"epochs": 3,
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"lr": 1e-05,
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"batch_size": 16,
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"seed": 7,
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"mix": {
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"blend": "general",
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"cs_min": 1630.4,
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"own_en_min": 0.0,
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"replay_min": 181.2,
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"total_min": 1992.7,
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"n": 24038,
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"priority_rows": 4688,
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| 33 |
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"priority_extra_min": 181.1,
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| 34 |
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"priority_repeat": 3,
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"primary_min": 1630.4,
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| 36 |
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"primary_cs_min": 0.0,
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"replay_share_actual": 0.091,
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"delta": {
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"parent": "r39-general",
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"new_rows": 4868,
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"new_unique": 4225,
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"new_min": 316.5,
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"new_cs_min": 0.0,
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"old_rows": 14604,
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"old_min": 1286.9,
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"full_mix_rows": 24038,
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"rows": 19472,
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"total_min": 1603.4
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}
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},
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"targets": {
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"train": {
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"plain": 19449,
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"full": 4,
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"fallback": 19,
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"dropped": 0
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},
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"val": {
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"plain": 1331,
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"full": 0,
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"fallback": 2,
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"dropped": 0
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},
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"charset": "parakeet-tdt-0.6b-v2"
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}
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}
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training/r46-general/result.json
ADDED
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{
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"run": "r46-general",
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"base_model": "nvidia/parakeet-tdt-0.6b-v2",
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"delta_old_ratio": 3.0,
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"init_from": "runs/r39-general/model.nemo",
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| 6 |
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"parent": "r39-general",
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"rav_sha": "958915c0562abc39b5aa3f6b8787b8078b08f8c3",
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"data": "general",
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| 9 |
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"english_share": null,
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| 10 |
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"replay_share": 0.1,
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| 11 |
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"speed_perturb": {
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"prob": 1.0,
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"sr": 16000,
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| 14 |
+
"resample_type": "kaiser_fast",
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| 15 |
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"min_speed_rate": 0.9,
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| 16 |
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"max_speed_rate": 1.1,
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| 17 |
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"num_rates": 3
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},
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"avg_last": 0,
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+
"max_rows": null,
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"epochs": 3,
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"lr": 1e-05,
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| 23 |
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"batch_size": 16,
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"seed": 7,
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+
"mix": {
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| 26 |
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"blend": "general",
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| 27 |
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"cs_min": 1630.4,
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| 28 |
+
"own_en_min": 0.0,
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| 29 |
+
"replay_min": 181.2,
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| 30 |
+
"total_min": 1992.7,
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| 31 |
+
"n": 24038,
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| 32 |
+
"priority_rows": 4688,
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| 33 |
+
"priority_extra_min": 181.1,
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| 34 |
+
"priority_repeat": 3,
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| 35 |
+
"primary_min": 1630.4,
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| 36 |
+
"primary_cs_min": 0.0,
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| 37 |
+
"replay_share_actual": 0.091,
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| 38 |
+
"delta": {
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| 39 |
+
"parent": "r39-general",
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| 40 |
+
"new_rows": 4868,
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| 41 |
+
"new_unique": 4225,
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| 42 |
+
"new_min": 316.5,
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| 43 |
+
"new_cs_min": 0.0,
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| 44 |
+
"old_rows": 14604,
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| 45 |
+
"old_min": 1286.9,
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| 46 |
+
"full_mix_rows": 24038,
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| 47 |
+
"rows": 19472,
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| 48 |
+
"total_min": 1603.4
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| 49 |
+
}
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| 50 |
+
},
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| 51 |
+
"targets": {
|
| 52 |
+
"train": {
|
| 53 |
+
"plain": 19449,
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| 54 |
+
"full": 4,
|
| 55 |
+
"fallback": 19,
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| 56 |
+
"dropped": 0
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| 57 |
+
},
|
| 58 |
+
"val": {
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| 59 |
+
"plain": 1331,
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| 60 |
+
"full": 0,
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| 61 |
+
"fallback": 2,
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| 62 |
+
"dropped": 0
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| 63 |
+
},
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| 64 |
+
"charset": "parakeet-tdt-0.6b-v2"
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| 65 |
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},
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| 66 |
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"best_checkpoint": "best-epoch=2-val_wer=0.0536.ckpt",
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| 67 |
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"best_val_wer": 0.053550563752651215,
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| 68 |
+
"averaged": null,
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| 69 |
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"train_minutes": 19.5,
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"model": "runs/r46-general/model.nemo"
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}
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