End of training

README.md

@@ -1,199 +1,200 @@
 ---
 library_name: transformers
-tags: []
+language:
+- nl
+license: apache-2.0
+base_model: openai/whisper-large-v2
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: Whisper Large V2
+  results: []
 ---
 
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
-
-
-
-## Model Details
-
-### Model Description
-
-<!-- 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.
-
-- **Developed by:** [More Information Needed]
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-
-## Uses
-
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-
-### Direct Use
-
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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-[More Information Needed]
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-### Downstream Use [optional]
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-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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-### Out-of-Scope Use
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-## Bias, Risks, and Limitations
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-### Recommendations
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-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-
-## How to Get Started with the Model
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-Use the code below to get started with the model.
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-## Training Details
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-### Training Data
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-<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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-### Training Procedure
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-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-
-#### Preprocessing [optional]
-
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-
-
-#### Training Hyperparameters
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-
-#### Speeds, Sizes, Times [optional]
-
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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-[More Information Needed]
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-## Evaluation
-
-<!-- This section describes the evaluation protocols and provides the results. -->
-
-### Testing Data, Factors & Metrics
-
-#### Testing Data
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-<!-- This should link to a Dataset Card if possible. -->
-
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-#### Factors
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-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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-#### Metrics
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-
-### Results
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-
-#### Summary
-
-
-
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
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-
-## Environmental Impact
-
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-
-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
-
-- **Hardware Type:** [More Information Needed]
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-
-## Technical Specifications [optional]
-
-### Model Architecture and Objective
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-### Compute Infrastructure
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-#### Hardware
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-#### Software
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-## Citation [optional]
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-## Glossary [optional]
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-## Model Card Contact
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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. -->
+
+# Whisper Large V2
+
+This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2718
+- Wer: 12.0890
+
+## 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: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 20
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.6207        | 0.0363 | 15   | 0.4288          | 32.3752 |
+| 0.3918        | 0.0726 | 30   | 0.3455          | 20.7368 |
+| 0.3211        | 0.1090 | 45   | 0.3369          | 20.8217 |
+| 0.334         | 0.1453 | 60   | 0.3248          | 25.7734 |
+| 0.2569        | 0.1816 | 75   | 0.3246          | 20.9820 |
+| 0.3159        | 0.2179 | 90   | 0.3134          | 25.2413 |
+| 0.3103        | 0.2542 | 105  | 0.3077          | 22.0887 |
+| 0.2935        | 0.2906 | 120  | 0.3057          | 38.6207 |
+| 0.2732        | 0.3269 | 135  | 0.2989          | 18.7783 |
+| 0.2991        | 0.3632 | 150  | 0.2998          | 17.9793 |
+| 0.2969        | 0.3995 | 165  | 0.2960          | 53.2697 |
+| 0.2613        | 0.4358 | 180  | 0.2945          | 17.8562 |
+| 0.2805        | 0.4722 | 195  | 0.2835          | 20.5019 |
+| 0.2799        | 0.5085 | 210  | 0.2936          | 52.1934 |
+| 0.2683        | 0.5448 | 225  | 0.2765          | 55.7750 |
+| 0.2678        | 0.5811 | 240  | 0.2794          | 30.6948 |
+| 0.2499        | 0.6174 | 255  | 0.2770          | 16.5277 |
+| 0.2575        | 0.6538 | 270  | 0.2740          | 31.0770 |
+| 0.2667        | 0.6901 | 285  | 0.2694          | 24.9926 |
+| 0.2807        | 0.7264 | 300  | 0.2657          | 27.1496 |
+| 0.2671        | 0.7627 | 315  | 0.2672          | 22.6823 |
+| 0.2783        | 0.7990 | 330  | 0.2604          | 15.4904 |
+| 0.225         | 0.8354 | 345  | 0.2594          | 14.7876 |
+| 0.243         | 0.8717 | 360  | 0.2613          | 15.3180 |
+| 0.2514        | 0.9080 | 375  | 0.2521          | 13.9288 |
+| 0.25          | 0.9443 | 390  | 0.2523          | 24.4441 |
+| 0.2498        | 0.9806 | 405  | 0.2496          | 13.9895 |
+| 0.2133        | 1.0169 | 420  | 0.2483          | 21.0375 |
+| 0.1285        | 1.0533 | 435  | 0.2591          | 15.6542 |
+| 0.1388        | 1.0896 | 450  | 0.2513          | 17.0113 |
+| 0.1318        | 1.1259 | 465  | 0.2523          | 14.6238 |
+| 0.1187        | 1.1622 | 480  | 0.2500          | 15.2218 |
+| 0.1357        | 1.1985 | 495  | 0.2490          | 15.0198 |
+| 0.1225        | 1.2349 | 510  | 0.2461          | 14.6593 |
+| 0.1258        | 1.2712 | 525  | 0.2466          | 16.0043 |
+| 0.1089        | 1.3075 | 540  | 0.2505          | 13.6654 |
+| 0.1375        | 1.3438 | 555  | 0.2467          | 14.4479 |
+| 0.1251        | 1.3801 | 570  | 0.2450          | 16.3813 |
+| 0.1413        | 1.4165 | 585  | 0.2465          | 14.1948 |
+| 0.1286        | 1.4528 | 600  | 0.2512          | 15.9974 |
+| 0.1345        | 1.4891 | 615  | 0.2416          | 16.1057 |
+| 0.133         | 1.5254 | 630  | 0.2384          | 13.7381 |
+| 0.132         | 1.5617 | 645  | 0.2389          | 13.6697 |
+| 0.1314        | 1.5981 | 660  | 0.2382          | 13.4331 |
+| 0.1509        | 1.6344 | 675  | 0.2355          | 15.0337 |
+| 0.1427        | 1.6707 | 690  | 0.2399          | 19.7359 |
+| 0.1105        | 1.7070 | 705  | 0.2350          | 12.7000 |
+| 0.112         | 1.7433 | 720  | 0.2402          | 13.1818 |
+| 0.1401        | 1.7797 | 735  | 0.2327          | 12.9339 |
+| 0.1396        | 1.8160 | 750  | 0.2304          | 12.3828 |
+| 0.136         | 1.8523 | 765  | 0.2287          | 13.1263 |
+| 0.1231        | 1.8886 | 780  | 0.2333          | 14.8708 |
+| 0.1216        | 1.9249 | 795  | 0.2297          | 16.6464 |
+| 0.1174        | 1.9613 | 810  | 0.2276          | 14.5008 |
+| 0.1181        | 1.9976 | 825  | 0.2332          | 13.7295 |
+| 0.0624        | 2.0339 | 840  | 0.2484          | 12.7234 |
+| 0.0706        | 2.0702 | 855  | 0.2373          | 19.1578 |
+| 0.0642        | 2.1065 | 870  | 0.2418          | 12.6627 |
+| 0.0716        | 2.1429 | 885  | 0.2425          | 13.5371 |
+| 0.0525        | 2.1792 | 900  | 0.2389          | 14.8656 |
+| 0.0777        | 2.2155 | 915  | 0.2339          | 14.8517 |
+| 0.0608        | 2.2518 | 930  | 0.2383          | 13.0015 |
+| 0.0604        | 2.2881 | 945  | 0.2356          | 13.4054 |
+| 0.0662        | 2.3245 | 960  | 0.2356          | 13.6983 |
+| 0.0608        | 2.3608 | 975  | 0.2393          | 17.8094 |
+| 0.0653        | 2.3971 | 990  | 0.2327          | 16.9290 |
+| 0.0627        | 2.4334 | 1005 | 0.2357          | 13.6038 |
+| 0.062         | 2.4697 | 1020 | 0.2312          | 12.3230 |
+| 0.0576        | 2.5061 | 1035 | 0.2341          | 13.1861 |
+| 0.0689        | 2.5424 | 1050 | 0.2311          | 13.4201 |
+| 0.055         | 2.5787 | 1065 | 0.2359          | 13.2728 |
+| 0.0549        | 2.6150 | 1080 | 0.2317          | 14.2668 |
+| 0.0548        | 2.6513 | 1095 | 0.2319          | 12.5076 |
+| 0.0516        | 2.6877 | 1110 | 0.2363          | 13.6420 |
+| 0.0528        | 2.7240 | 1125 | 0.2336          | 12.1982 |
+| 0.0614        | 2.7603 | 1140 | 0.2311          | 13.2737 |
+| 0.0569        | 2.7966 | 1155 | 0.2342          | 12.6601 |
+| 0.0478        | 2.8329 | 1170 | 0.2297          | 13.1307 |
+| 0.065         | 2.8692 | 1185 | 0.2276          | 13.2182 |
+| 0.0492        | 2.9056 | 1200 | 0.2351          | 12.6402 |
+| 0.0596        | 2.9419 | 1215 | 0.2274          | 11.7580 |
+| 0.0647        | 2.9782 | 1230 | 0.2289          | 12.5284 |
+| 0.048         | 3.0145 | 1245 | 0.2341          | 12.0916 |
+| 0.0196        | 3.0508 | 1260 | 0.2496          | 13.0735 |
+| 0.0274        | 3.0872 | 1275 | 0.2452          | 12.2493 |
+| 0.0219        | 3.1235 | 1290 | 0.2398          | 12.6055 |
+| 0.0237        | 3.1598 | 1305 | 0.2413          | 12.8872 |
+| 0.027         | 3.1961 | 1320 | 0.2414          | 12.0492 |
+| 0.0203        | 3.2324 | 1335 | 0.2509          | 12.3065 |
+| 0.0233        | 3.2688 | 1350 | 0.2421          | 11.7536 |
+| 0.0243        | 3.3051 | 1365 | 0.2425          | 11.7623 |
+| 0.0178        | 3.3414 | 1380 | 0.2442          | 11.3715 |
+| 0.0229        | 3.3777 | 1395 | 0.2444          | 11.8464 |
+| 0.0218        | 3.4140 | 1410 | 0.2485          | 11.0933 |
+| 0.0177        | 3.4504 | 1425 | 0.2452          | 11.3585 |
+| 0.0211        | 3.4867 | 1440 | 0.2440          | 12.4669 |
+| 0.0212        | 3.5230 | 1455 | 0.2447          | 12.4140 |
+| 0.0226        | 3.5593 | 1470 | 0.2399          | 12.2875 |
+| 0.0212        | 3.5956 | 1485 | 0.2436          | 12.4140 |
+| 0.0221        | 3.6320 | 1500 | 0.2506          | 11.4304 |
+| 0.0222        | 3.6683 | 1515 | 0.2434          | 11.1462 |
+| 0.0261        | 3.7046 | 1530 | 0.2385          | 11.7268 |
+| 0.0208        | 3.7409 | 1545 | 0.2447          | 12.7416 |
+| 0.018         | 3.7772 | 1560 | 0.2488          | 12.2883 |
+| 0.0245        | 3.8136 | 1575 | 0.2389          | 11.5231 |
+| 0.0182        | 3.8499 | 1590 | 0.2415          | 14.8587 |
+| 0.0245        | 3.8862 | 1605 | 0.2416          | 12.1410 |
+| 0.0216        | 3.9225 | 1620 | 0.2389          | 10.9174 |
+| 0.0173        | 3.9588 | 1635 | 0.2418          | 10.9044 |
+| 0.0238        | 3.9952 | 1650 | 0.2427          | 11.7458 |
+| 0.0109        | 4.0315 | 1665 | 0.2480          | 12.4651 |
+| 0.0066        | 4.0678 | 1680 | 0.2601          | 11.1817 |
+| 0.0063        | 4.1041 | 1695 | 0.2645          | 11.0508 |
+| 0.007         | 4.1404 | 1710 | 0.2670          | 11.4815 |
+| 0.0075        | 4.1768 | 1725 | 0.2678          | 11.7996 |
+| 0.0062        | 4.2131 | 1740 | 0.2653          | 12.3273 |
+| 0.0068        | 4.2494 | 1755 | 0.2656          | 13.6402 |
+| 0.007         | 4.2857 | 1770 | 0.2650          | 13.8161 |
+| 0.0078        | 4.3220 | 1785 | 0.2660          | 12.8785 |
+| 0.007         | 4.3584 | 1800 | 0.2674          | 12.9296 |
+| 0.0072        | 4.3947 | 1815 | 0.2667          | 11.5335 |
+| 0.0058        | 4.4310 | 1830 | 0.2673          | 11.4235 |
+| 0.0051        | 4.4673 | 1845 | 0.2673          | 11.5630 |
+| 0.0067        | 4.5036 | 1860 | 0.2699          | 11.2588 |
+| 0.0085        | 4.5400 | 1875 | 0.2672          | 11.1618 |
+| 0.0054        | 4.5763 | 1890 | 0.2656          | 12.3143 |
+| 0.0061        | 4.6126 | 1905 | 0.2667          | 11.3862 |
+| 0.0052        | 4.6489 | 1920 | 0.2673          | 11.3793 |
+| 0.0084        | 4.6852 | 1935 | 0.2683          | 11.2865 |
+| 0.005         | 4.7215 | 1950 | 0.2693          | 11.3229 |
+| 0.0053        | 4.7579 | 1965 | 0.2726          | 11.5266 |
+| 0.0052        | 4.7942 | 1980 | 0.2740          | 11.6679 |
+| 0.0051        | 4.8305 | 1995 | 0.2729          | 11.4573 |
+| 0.0049        | 4.8668 | 2010 | 0.2724          | 11.4980 |
+| 0.0058        | 4.9031 | 2025 | 0.2720          | 11.7450 |
+| 0.0047        | 4.9395 | 2040 | 0.2717          | 11.9235 |
+| 0.0064        | 4.9758 | 2055 | 0.2718          | 12.0890 |
+
+
+### Framework versions
+
+- Transformers 4.45.0.dev0
+- Pytorch 2.1.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

@@ -0,0 +1,227 @@
+{
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+    [
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+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "forced_decoder_ids": [
+    [
+      1,
+      null
+    ],
+    [
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+    ]
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+    "<|hu|>": 50286,
+    "<|hy|>": 50312,
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+    "<|is|>": 50311,
+    "<|it|>": 50274,
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+    "<|jw|>": 50356,
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+    "<|lb|>": 50345,
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+    "<|mt|>": 50343,
+    "<|my|>": 50346,
+    "<|ne|>": 50313,
+    "<|nl|>": 50271,
+    "<|nn|>": 50342,
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+    "<|oc|>": 50328,
+    "<|pa|>": 50321,
+    "<|pl|>": 50269,
+    "<|ps|>": 50340,
+    "<|pt|>": 50267,
+    "<|ro|>": 50284,
+    "<|ru|>": 50263,
+    "<|sa|>": 50344,
+    "<|sd|>": 50332,
+    "<|si|>": 50322,
+    "<|sk|>": 50298,
+    "<|sl|>": 50305,
+    "<|sn|>": 50324,
+    "<|so|>": 50326,
+    "<|sq|>": 50317,
+    "<|sr|>": 50303,
+    "<|su|>": 50357,
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+    "<|ur|>": 50290,
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+    "<|vi|>": 50278,
+    "<|yi|>": 50335,
+    "<|yo|>": 50325,
+    "<|zh|>": 50260
+  },
+  "max_initial_timestamp_index": 50,
+  "max_length": 448,
+  "no_timestamps_token_id": 50363,
+  "pad_token_id": 50257,
+  "prev_sot_token_id": 50361,
+  "return_timestamps": false,
+  "suppress_tokens": [],
+  "task_to_id": {
+    "transcribe": 50359,
+    "translate": 50358
+  },
+  "transformers_version": "4.45.0.dev0"
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model-00001-of-00002.safetensors

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