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README.md
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# flan-t5-base-opus-en-id-id-en
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3685
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- Score: 35.0259
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- Sys Len: 7288
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- Ref Len: 7354
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- Gen Len: 10.556
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Score | Counts | Totals | Precisions | Bp | Sys Len | Ref Len | Gen Len |
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| 1.6959 | 0.55 | 4000 | 1.5776 | 30.6542 | [4414, 2368, 1345, 733] | [7417, 6417, 5426, 4519] | [59.511932047997846, 36.9019791179679, 24.78805750092149, 16.220402743969906] | 1.0 | 7417 | 7354 | 10.77 |
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| 1.4378 | 1.11 | 8000 | 1.4527 | 32.3772 | [4526, 2538, 1483, 834] | [7567, 6567, 5576, 4666] | [59.81234306858729, 38.647784376427595, 26.596126255380202, 17.873981997428203] | 1.0 | 7567 | 7354 | 10.885 |
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| 1.3904 | 1.66 | 12000 | 1.3961 | 33.8978 | [4558, 2559, 1494, 836] | [7286, 6286, 5295, 4383] | [62.55833104584134, 40.70951320394528, 28.21529745042493, 19.073693817020306] | 0.9907 | 7286 | 7354 | 10.569 |
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| 1.3035 | 2.21 | 16000 | 1.3758 | 34.9471 | [4609, 2628, 1546, 880] | [7297, 6297, 5306, 4392] | [63.16294367548308, 41.73415912339209, 29.136826234451565, 20.036429872495447] | 0.9922 | 7297 | 7354 | 10.591 |
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| 1.2994 | 2.77 | 20000 | 1.3685 | 35.0259 | [4617, 2627, 1550, 883] | [7288, 6288, 5297, 4382] | [63.350713501646545, 41.777989821882954, 29.261846328110252, 20.150616157005935] | 0.991 | 7288 | 7354 | 10.556 |
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### Framework versions
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# flan-t5-base-opus-en-id-id-en
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<!---This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3685
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- Score: 35.0259
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- Sys Len: 7288
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- Ref Len: 7354
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- Gen Len: 10.556
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Learning Rate: 0.0004-->
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Score | Counts | Totals | Precisions | Bp | Sys Len | Ref Len | Gen Len |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-----------------------:|:------------------------:|:--------------------------------------------------------------------------------:|:------:|:-------:|:-------:|:-------:|
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| 1.6959 | 0.55 | 4000 | 1.5776 | 30.6542 | [4414, 2368, 1345, 733] | [7417, 6417, 5426, 4519] | [59.511932047997846, 36.9019791179679, 24.78805750092149, 16.220402743969906] | 1.0 | 7417 | 7354 | 10.77 |
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| 1.4378 | 1.11 | 8000 | 1.4527 | 32.3772 | [4526, 2538, 1483, 834] | [7567, 6567, 5576, 4666] | [59.81234306858729, 38.647784376427595, 26.596126255380202, 17.873981997428203] | 1.0 | 7567 | 7354 | 10.885 |
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| 1.3904 | 1.66 | 12000 | 1.3961 | 33.8978 | [4558, 2559, 1494, 836] | [7286, 6286, 5295, 4383] | [62.55833104584134, 40.70951320394528, 28.21529745042493, 19.073693817020306] | 0.9907 | 7286 | 7354 | 10.569 |
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| 1.3035 | 2.21 | 16000 | 1.3758 | 34.9471 | [4609, 2628, 1546, 880] | [7297, 6297, 5306, 4392] | [63.16294367548308, 41.73415912339209, 29.136826234451565, 20.036429872495447] | 0.9922 | 7297 | 7354 | 10.591 |
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| 1.2994 | 2.77 | 20000 | 1.3685 | 35.0259 | [4617, 2627, 1550, 883] | [7288, 6288, 5297, 4382] | [63.350713501646545, 41.777989821882954, 29.261846328110252, 20.150616157005935] | 0.991 | 7288 | 7354 | 10.556 |
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### Framework versions
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