Training in progress, step 200

added_tokens.json

@@ -1,229 +1,229 @@
 {
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-  "[SL:SIMILARITY": 250110,
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-  "[SL:TITLE_EVENT": 250248,
-  "[SL:TODO": 250111,
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+  "[SL:RECIPES_TYPE_NUTRITION": 250261,
+  "[SL:RECIPES_UNIT_MEASUREMENT": 250245,
+  "[SL:RECIPES_UNIT_NUTRITION": 250127,
+  "[SL:RECIPIENT": 250142,
+  "[SL:SCHOOL": 250228,
+  "[SL:SENDER": 250175,
+  "[SL:SIMILARITY": 250217,
+  "[SL:TIMER_NAME": 250240,
+  "[SL:TITLE_EVENT": 250223,
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   "[SL:TYPE_CONTACT": 250317,
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-  "[SL:USER_ATTENDEE_EVENT": 250298,
-  "[SL:WEATHER_ATTRIBUTE": 250135,
-  "[SL:WEATHER_TEMPERATURE_UNIT": 250216
+  "[SL:TYPE_CONTENT": 250117,
+  "[SL:TYPE_RELATION": 250183,
+  "[SL:USER_ATTENDEE_EVENT": 250300,
+  "[SL:WEATHER_ATTRIBUTE": 250151,
+  "[SL:WEATHER_TEMPERATURE_UNIT": 250178
 }

eval-en/README.md

@@ -0,0 +1,51 @@
+---
+language:
+- en
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- mtop
+model-index:
+- name: eval-en
+  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. -->
+
+# eval-en
+
+This model is a fine-tuned version of [WillHeld/t5-small-pointer-mtop](https://huggingface.co/WillHeld/t5-small-pointer-mtop) on the mtop dataset.
+
+## 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.13.0+cu117
+- Datasets 2.7.1
+- Tokenizers 0.13.2

eval-en/all_results.json

@@ -0,0 +1,8 @@
+{
+    "predict_exact_match": 0.7731418148654811,
+    "predict_loss": 0.09263205528259277,
+    "predict_runtime": 118.5618,
+    "predict_samples": 4386,
+    "predict_samples_per_second": 36.993,
+    "predict_steps_per_second": 1.164
+}

eval-en/predict_results.json

@@ -0,0 +1,8 @@
+{
+    "predict_exact_match": 0.7731418148654811,
+    "predict_loss": 0.09263205528259277,
+    "predict_runtime": 118.5618,
+    "predict_samples": 4386,
+    "predict_samples_per_second": 36.993,
+    "predict_steps_per_second": 1.164
+}

eval-es/README.md

@@ -0,0 +1,51 @@
+---
+language:
+- es
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- mtop
+model-index:
+- name: eval-es
+  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. -->
+
+# eval-es
+
+This model is a fine-tuned version of [WillHeld/t5-small-pointer-mtop](https://huggingface.co/WillHeld/t5-small-pointer-mtop) on the mtop dataset.
+
+## 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.13.0+cu117
+- Datasets 2.7.1
+- Tokenizers 0.13.2

eval-es/all_results.json

@@ -0,0 +1,8 @@
+{
+    "predict_exact_match": 0.2988659106070714,
+    "predict_loss": 0.6442004442214966,
+    "predict_runtime": 74.4752,
+    "predict_samples": 2998,
+    "predict_samples_per_second": 40.255,
+    "predict_steps_per_second": 1.262
+}

eval-es/predict_results.json

@@ -0,0 +1,8 @@
+{
+    "predict_exact_match": 0.2988659106070714,
+    "predict_loss": 0.6442004442214966,
+    "predict_runtime": 74.4752,
+    "predict_samples": 2998,
+    "predict_samples_per_second": 40.255,
+    "predict_steps_per_second": 1.262
+}

eval-fr/README.md

@@ -0,0 +1,51 @@
+---
+language:
+- fr
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- mtop
+model-index:
+- name: eval-fr
+  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. -->
+
+# eval-fr
+
+This model is a fine-tuned version of [WillHeld/t5-small-pointer-mtop](https://huggingface.co/WillHeld/t5-small-pointer-mtop) on the mtop dataset.
+
+## 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.13.0+cu117
+- Datasets 2.7.1
+- Tokenizers 0.13.2

eval-fr/all_results.json

@@ -0,0 +1,8 @@
+{
+    "predict_exact_match": 0.2649545881616035,
+    "predict_loss": 0.7096580266952515,
+    "predict_runtime": 59.1228,
+    "predict_samples": 3193,
+    "predict_samples_per_second": 54.006,
+    "predict_steps_per_second": 0.846
+}

eval-fr/predict_results.json

@@ -0,0 +1,8 @@
+{
+    "predict_exact_match": 0.2649545881616035,
+    "predict_loss": 0.7096580266952515,
+    "predict_runtime": 59.1228,
+    "predict_samples": 3193,
+    "predict_samples_per_second": 54.006,
+    "predict_steps_per_second": 0.846
+}

eval-hi/README.md

@@ -0,0 +1,51 @@
+---
+language:
+- hi
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- mtop
+model-index:
+- name: eval-hi
+  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. -->
+
+# eval-hi
+
+This model is a fine-tuned version of [WillHeld/t5-small-pointer-mtop](https://huggingface.co/WillHeld/t5-small-pointer-mtop) on the mtop dataset.
+
+## 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.13.0+cu117
+- Datasets 2.7.1
+- Tokenizers 0.13.2

eval-hi/all_results.json

@@ -0,0 +1,8 @@
+{
+    "predict_exact_match": 0.053782717820007174,
+    "predict_loss": 1.3589513301849365,
+    "predict_runtime": 65.2834,
+    "predict_samples": 2789,
+    "predict_samples_per_second": 42.721,
+    "predict_steps_per_second": 1.348
+}

eval-hi/predict_results.json

@@ -0,0 +1,8 @@
+{
+    "predict_exact_match": 0.053782717820007174,
+    "predict_loss": 1.3589513301849365,
+    "predict_runtime": 65.2834,
+    "predict_samples": 2789,
+    "predict_samples_per_second": 42.721,
+    "predict_steps_per_second": 1.348
+}

eval-th/README.md

@@ -0,0 +1,51 @@
+---
+language:
+- th
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- mtop
+model-index:
+- name: eval-th
+  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. -->
+
+# eval-th
+
+This model is a fine-tuned version of [WillHeld/t5-small-pointer-mtop](https://huggingface.co/WillHeld/t5-small-pointer-mtop) on the mtop dataset.
+
+## 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.13.0+cu117
+- Datasets 2.7.1
+- Tokenizers 0.13.2

eval-th/all_results.json

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+{
+    "predict_exact_match": 0.10343580470162748,
+    "predict_loss": 1.3719183206558228,
+    "predict_runtime": 71.8413,
+    "predict_samples": 2765,
+    "predict_samples_per_second": 38.488,
+    "predict_steps_per_second": 1.211
+}

eval-th/predict_results.json

@@ -0,0 +1,8 @@
+{
+    "predict_exact_match": 0.10343580470162748,
+    "predict_loss": 1.3719183206558228,
+    "predict_runtime": 71.8413,
+    "predict_samples": 2765,
+    "predict_samples_per_second": 38.488,
+    "predict_steps_per_second": 1.211
+}

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