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Ilker Kesen commited on
Commit
7987659
·
1 Parent(s): 489c22a

update results

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Files changed (6) hide show
  1. app.py +1 -0
  2. data/datasets.json +1 -1
  3. results/zero-shot/aya-23-8b.json +7 -0
  4. results/zero-shot/kanarya-2b.json +3 -3
  5. results/zero-shot/llama-3.1-8b-instruct.json +19 -12
  6. results/zero-shot/llama-3.1-8b.json +39 -0
app.py CHANGED
@@ -44,6 +44,7 @@ def cache_datasets(path):
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  datasets = json.load(f)
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  for key in datasets.keys():
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  datasets[key]['dataset'] = key
 
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  return datasets
48
 
49
 
 
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  datasets = json.load(f)
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  for key in datasets.keys():
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  datasets[key]['dataset'] = key
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+ del datasets['tr-wikihow-summ'] # FIXME: There are missing experiments.
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  return datasets
49
 
50
 
data/datasets.json CHANGED
@@ -48,7 +48,7 @@
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  "generative": true
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  },
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  "tr-wikihow-summ": {
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- "name": "WikiHowSumm",
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  "task": "summarization",
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  "description": "A summarization dataset obtained from WikiHow website.",
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  "url": "https://huggingface.co/datasets/ardauzunoglu/tr-wikihow-summ",
 
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  "generative": true
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  },
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  "tr-wikihow-summ": {
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+ "name": "WikiHow",
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  "task": "summarization",
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  "description": "A summarization dataset obtained from WikiHow website.",
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  "url": "https://huggingface.co/datasets/ardauzunoglu/tr-wikihow-summ",
results/zero-shot/aya-23-8b.json CHANGED
@@ -150,6 +150,13 @@
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  "wer": 0.7464128097803795,
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  "bleu": 0.16878189334002527
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  },
 
 
 
 
 
 
 
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  {
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  "name": "xlsum_tr",
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  "task": "summarization",
 
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  "wer": 0.7464128097803795,
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  "bleu": 0.16878189334002527
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  },
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+ {
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+ "name": "tr-wikihow-summ",
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+ "task": "summarization",
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+ "rouge1": 0.04023948542641836,
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+ "rouge2": 0.0169810919324388,
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+ "rougeL": 0.03296869279651223
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+ },
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  {
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  "name": "xlsum_tr",
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  "task": "summarization",
results/zero-shot/kanarya-2b.json CHANGED
@@ -157,9 +157,9 @@
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  {
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  "name": "tr-wikihow-summ",
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  "task": "summarization",
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- "rouge1": null,
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- "rouge2": null,
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- "rougeL": null
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  },
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  {
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  "name": "xquad_tr",
 
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  {
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  "name": "tr-wikihow-summ",
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  "task": "summarization",
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+ "rouge1": 0.18320144404095734,
161
+ "rouge2": 0.05292686441577856,
162
+ "rougeL": 0.13617779525430102
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  },
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  {
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  "name": "xquad_tr",
results/zero-shot/llama-3.1-8b-instruct.json CHANGED
@@ -126,34 +126,41 @@
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  {
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  "name": "gecturk_generation",
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  "task": "grammatical_error_correction",
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- "exact_match": 0.005007463045885695
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  },
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  {
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  "name": "mlsum_tr",
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  "task": "summarization",
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- "rouge1": 0.40612528796779146,
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- "rouge2": 0.25769550481564407,
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- "rougeL": 0.3281187592669974
 
 
 
 
 
 
 
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  },
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  {
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  "name": "wiki_lingua_tr",
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  "task": "summarization",
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- "rouge1": 0.23621778991663983,
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- "rouge2": 0.08052321922363763,
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- "rougeL": 0.1710165526266978
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  },
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  {
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  "name": "wmt-tr-en-prompt",
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  "task": "machine_translation",
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- "wer": 0.823814082821166,
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- "bleu": 0.13572050882587958
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  },
151
  {
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  "name": "xlsum_tr",
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  "task": "summarization",
154
- "rouge1": 0.29619456321037296,
155
- "rouge2": 0.13520487191226377,
156
- "rougeL": 0.220446635816053
157
  }
158
  ]
159
  }
 
126
  {
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  "name": "gecturk_generation",
128
  "task": "grammatical_error_correction",
129
+ "exact_match": 0.006548220906158217
130
  },
131
  {
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  "name": "mlsum_tr",
133
  "task": "summarization",
134
+ "rouge1": 0.3970732593089523,
135
+ "rouge2": 0.2580847974481608,
136
+ "rougeL": 0.32541870004323864
137
+ },
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+ {
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+ "name": "tr-wikihow-summ",
140
+ "task": "summarization",
141
+ "rouge1": 0.2444219472309469,
142
+ "rouge2": 0.07918689923056912,
143
+ "rougeL": 0.1723711997990579
144
  },
145
  {
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  "name": "wiki_lingua_tr",
147
  "task": "summarization",
148
+ "rouge1": 0.22962802442673436,
149
+ "rouge2": 0.07863769381205138,
150
+ "rougeL": 0.16924353815052512
151
  },
152
  {
153
  "name": "wmt-tr-en-prompt",
154
  "task": "machine_translation",
155
+ "wer": 0.7815049287082738,
156
+ "bleu": 0.1564145890661644
157
  },
158
  {
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  "name": "xlsum_tr",
160
  "task": "summarization",
161
+ "rouge1": 0.2805962791068744,
162
+ "rouge2": 0.12421139697660691,
163
+ "rougeL": 0.21080710839195932
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  }
165
  ]
166
  }
results/zero-shot/llama-3.1-8b.json CHANGED
@@ -122,6 +122,45 @@
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  "task": "extractive_question_answering",
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  "exact_match": 0.2092436974789916,
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  "f1": 0.35674599908781446
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  }
126
  ]
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  }
 
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  "task": "extractive_question_answering",
123
  "exact_match": 0.2092436974789916,
124
  "f1": 0.35674599908781446
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+ },
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+ {
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+ "name": "gecturk_generation",
128
+ "task": "grammatical_error_correction",
129
+ "exact_match": 0.006548220906158217
130
+ },
131
+ {
132
+ "name": "mlsum_tr",
133
+ "task": "summarization",
134
+ "rouge1": 0.3970732593089523,
135
+ "rouge2": 0.2580847974481608,
136
+ "rougeL": 0.32541870004323864
137
+ },
138
+ {
139
+ "name": "tr-wikihow-summ",
140
+ "task": "summarization",
141
+ "rouge1": 0.2444219472309469,
142
+ "rouge2": 0.07918689923056912,
143
+ "rougeL": 0.1723711997990579
144
+ },
145
+ {
146
+ "name": "wiki_lingua_tr",
147
+ "task": "summarization",
148
+ "rouge1": 0.22962802442673436,
149
+ "rouge2": 0.07863769381205138,
150
+ "rougeL": 0.16924353815052512
151
+ },
152
+ {
153
+ "name": "wmt-tr-en-prompt",
154
+ "task": "machine_translation",
155
+ "wer": 0.7815049287082738,
156
+ "bleu": 0.1564145890661644
157
+ },
158
+ {
159
+ "name": "xlsum_tr",
160
+ "task": "summarization",
161
+ "rouge1": 0.2805962791068744,
162
+ "rouge2": 0.12421139697660691,
163
+ "rougeL": 0.21080710839195932
164
  }
165
  ]
166
  }