Model save

README.md

@@ -1,33 +1,20 @@
 ---
 base_model: nadsoft/Hamsa-large-v0.1-beta
 tags:
-- whisper-event
 - generated_from_trainer
-datasets:
-- nadsoft/QASR-Speech-Resource
 metrics:
 - wer
 model-index:
-- name: hamsa-large-pretrained
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: nadsoft/QASR-Speech-Resource default
-      type: nadsoft/QASR-Speech-Resource
-    metrics:
-    - name: Wer
-      type: wer
-      value: 29.205723913714138
+- name: hamsa-pretrained
+  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. -->
 
-# hamsa-large-pretrained
+# hamsa-pretrained
 
-This model is a fine-tuned version of [nadsoft/Hamsa-large-v0.1-beta](https://huggingface.co/nadsoft/Hamsa-large-v0.1-beta) on the nadsoft/QASR-Speech-Resource default dataset.
+This model is a fine-tuned version of [nadsoft/Hamsa-large-v0.1-beta](https://huggingface.co/nadsoft/Hamsa-large-v0.1-beta) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.4344
 - Wer: 29.2057

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a30f2481cbb8a8a2fff59ca6759644a1a3f0382d181f970f988404d7bcb2204a
+oid sha256:8ad2bde5feeaec1a9101e1776c6370a1ba226a08d8ed0cbf0fdd980af2ad1150
 size 4936567968

runs/Feb04_08-36-50_ip-10-0-3-5.eu-west-1.compute.internal/events.out.tfevents.1707035870.ip-10-0-3-5.eu-west-1.compute.internal.7779.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ba8f46d872a31c83cdf9b3c719862750be6692b4b3e510695ea3c661a625cdfb
+size 5578

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5b6acc6c461ebe87ec8f0acfcb50bd78ba6e3c90aefdacc8a513a9a9b06b9603
+oid sha256:bac3075244d6d9afe4f493d1fbf75070decb9ab6fd1bd6f21224543f2e1206e0
 size 4856