End of training
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README.md
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tags:
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- generated_from_trainer
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model-index:
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- name: roberta-base-multilingual-sentiment
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# roberta-base-multilingual-sentiment
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This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Micro F1: 0.3120
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- Micro Precision: 0.3120
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- Micro Recall: 0.3120
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tags:
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- generated_from_trainer
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model-index:
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+
- name: clapAI/roberta-base-multilingual-sentiment
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# clapAI/roberta-base-multilingual-sentiment
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This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7236
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- Micro F1: 0.3120
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- Micro Precision: 0.3120
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- Micro Recall: 0.3120
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all_results.json
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@@ -10,9 +10,9 @@
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"eval_micro_recall": 0.3119533527696793,
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"eval_precision": 0.1725200652415304,
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"eval_recall": 0.13460980331549635,
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-
"eval_runtime":
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-
"eval_samples_per_second":
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-
"eval_steps_per_second":
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"test_f1": 0.10009022401776128,
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"test_loss": 1.767578125,
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"test_macro_f1": 0.06223798774588842,
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"test_micro_recall": 0.2784992784992785,
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"test_precision": 0.14356813693219223,
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"test_recall": 0.14150273929500776,
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-
"test_runtime": 0.
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-
"test_samples_per_second":
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-
"test_steps_per_second":
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"train_loss": 1.7666796875,
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"train_runtime": 62.6765,
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"train_samples_per_second": 442.59,
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"eval_micro_recall": 0.3119533527696793,
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"eval_precision": 0.1725200652415304,
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"eval_recall": 0.13460980331549635,
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+
"eval_runtime": 0.2804,
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+
"eval_samples_per_second": 2446.863,
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"eval_steps_per_second": 7.134,
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"test_f1": 0.10009022401776128,
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"test_loss": 1.767578125,
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"test_macro_f1": 0.06223798774588842,
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"test_micro_recall": 0.2784992784992785,
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"test_precision": 0.14356813693219223,
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"test_recall": 0.14150273929500776,
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"test_runtime": 0.2854,
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"test_samples_per_second": 2428.484,
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"test_steps_per_second": 7.009,
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"train_loss": 1.7666796875,
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"train_runtime": 62.6765,
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"train_samples_per_second": 442.59,
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eval_results.json
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@@ -7,7 +7,7 @@
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"eval_micro_f1": 0.3119533527696793,
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"eval_micro_precision": 0.3119533527696793,
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"eval_micro_recall": 0.3119533527696793,
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"eval_runtime":
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-
"eval_samples_per_second":
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"eval_steps_per_second":
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}
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"eval_micro_f1": 0.3119533527696793,
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"eval_micro_precision": 0.3119533527696793,
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"eval_micro_recall": 0.3119533527696793,
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"eval_runtime": 0.2804,
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+
"eval_samples_per_second": 2446.863,
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"eval_steps_per_second": 7.134
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}
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runs/May08_06-52-02_hn-fornix-testing-gpu-platform-2/events.out.tfevents.1746687222.hn-fornix-testing-gpu-platform-2.2610915.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:87a908554403354f584840adb510efceec90ab7aa8a46e5ef4657557c87ccda2
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size 682
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test_results.json
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@@ -6,7 +6,7 @@
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"test_micro_f1": 0.2784992784992785,
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"test_micro_precision": 0.2784992784992785,
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"test_micro_recall": 0.2784992784992785,
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"test_runtime": 0.
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"test_samples_per_second":
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"test_micro_f1": 0.2784992784992785,
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"test_micro_precision": 0.2784992784992785,
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"test_micro_recall": 0.2784992784992785,
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"test_runtime": 0.2854,
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"test_samples_per_second": 2428.484,
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"test_steps_per_second": 7.009
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}
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