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sec-bert-base

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PyTorch
TensorFlow
English
bert
pretraining
finance
financial
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Update README.md

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  1. README.md +121 -41
README.md CHANGED
@@ -58,49 +58,129 @@ model = AutoModel.from_pretrained("nlpaueb/sec-bert-base")
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  | --------------------------------------------------- | ------------ |
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  | **BERT-BASE-UNCASED** | increased (0.221), were (0.131), are (0.103), rose (0.075), of (0.058)
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  | **SEC-BERT-BASE** | increased (0.678), decreased (0.282), declined (0.017), grew (0.016), rose (0.004)
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- | **SEC-BERT-NUM** | increased (0.665), decreased (0.281), grew (0.028), declined (0.015), rose (0.008)
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- | **SEC-BERT-SHAPE** | increased (0.793), decreased (0.145), grew (0.042), declined (0.011), rose (0.003)
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-
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- | Model | Masked Token | Predictions (Probability) |
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- | ---------------------------------- | ------------ | ------------ |
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- | Total net sales [MASK] 2% or $5.4 billion during 2019 compared to 2018.
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- | **BERT-BASE-UNCASED** | decreased | increased (0.221), were (0.131), are (0.103), rose (0.075), of (0.058)
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- | **SEC-BERT-BASE** | decreased | increased (0.678), decreased (0.282), declined (0.017), grew (0.016), rose (0.004)
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- | **SEC-BERT-NUM** | decreased | increased (0.665), decreased (0.281), grew (0.028), declined (0.015), rose (0.008)
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- | **SEC-BERT-SHAPE** | decreased | increased (0.793), decreased (0.145), grew (0.042), declined (0.011), rose (0.003)
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- | | |
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- | Total net sales decreased 2% or $5.4 [MASK] during 2019 compared to 2018.
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- | **BERT-BASE-UNCASED** | billion |
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- | **SEC-BERT-BASE** | billion |
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- | **SEC-BERT-NUM** | billion |
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- | **SEC-BERT-SHAPE** | billion |
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- | | |
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- | During 2019, the Company [MASK] $67.1 billion of its common stock and paid dividend equivalents of $14.1 billion.
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- | **BERT-BASE-UNCASED** | repurchased | ('letter', '0.38'), ('dealer', '0.04'), ('employment', '0.03'), ('award', '0.03'), ('contribution', '0.02')
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- | **SEC-BERT-BASE** | repurchased | ('letter', '0.38'), ('dealer', '0.04'), ('employment', '0.03'), ('award', '0.03'), ('contribution', '0.02')
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- | **SEC-BERT-NUM** | repurchased | ('letter', '0.38'), ('dealer', '0.04'), ('employment', '0.03'), ('award', '0.03'), ('contribution', '0.02')
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- | **SEC-BERT-SHAPE** | repurchased | ('letter', '0.38'), ('dealer', '0.04'), ('employment', '0.03'), ('award', '0.03'), ('contribution', '0.02')
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- | | |
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- | During 2019, the Company repurchased $67.1 billion of its common [MASK] and paid dividend equivalents of $14.1 billion.
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- | **BERT-BASE-UNCASED** | stock | ('letter', '0.38'), ('dealer', '0.04'), ('employment', '0.03'), ('award', '0.03'), ('contribution', '0.02')
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- | **SEC-BERT-BASE** | stock | ('letter', '0.38'), ('dealer', '0.04'), ('employment', '0.03'), ('award', '0.03'), ('contribution', '0.02')
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- | **SEC-BERT-NUM** | stock | ('letter', '0.38'), ('dealer', '0.04'), ('employment', '0.03'), ('award', '0.03'), ('contribution', '0.02')
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- | **SEC-BERT-SHAPE** | stock | ('letter', '0.38'), ('dealer', '0.04'), ('employment', '0.03'), ('award', '0.03'), ('contribution', '0.02')
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- | | |
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- | During 2019, the Company repurchased $67.1 billion of its common stock and paid [MASK] equivalents of $14.1 billion.
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- | **BERT-BASE-UNCASED** | dividend | ('letter', '0.38'), ('dealer', '0.04'), ('employment', '0.03'), ('award', '0.03'), ('contribution', '0.02')
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- | **SEC-BERT-BASE** | dividend | ('letter', '0.38'), ('dealer', '0.04'), ('employment', '0.03'), ('award', '0.03'), ('contribution', '0.02')
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- | **SEC-BERT-NUM** | dividend | ('letter', '0.38'), ('dealer', '0.04'), ('employment', '0.03'), ('award', '0.03'), ('contribution', '0.02')
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- | **SEC-BERT-SHAPE** | dividend | ('letter', '0.38'), ('dealer', '0.04'), ('employment', '0.03'), ('award', '0.03'), ('contribution', '0.02')
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- | | |
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- | During 2019, the Company repurchased $67.1 billion of its common stock and paid dividend [MASK] of $14.1 billion.
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- | **BERT-BASE-UNCASED** | equivalents | ('letter', '0.38'), ('dealer', '0.04'), ('employment', '0.03'), ('award', '0.03'), ('contribution', '0.02')
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- | **SEC-BERT-BASE** | equivalents | ('letter', '0.38'), ('dealer', '0.04'), ('employment', '0.03'), ('award', '0.03'), ('contribution', '0.02')
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- | **SEC-BERT-NUM** | equivalents | ('letter', '0.38'), ('dealer', '0.04'), ('employment', '0.03'), ('award', '0.03'), ('contribution', '0.02')
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- | **SEC-BERT-SHAPE** | equivalents | ('letter', '0.38'), ('dealer', '0.04'), ('employment', '0.03'), ('award', '0.03'), ('contribution', '0.02')
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- | | |
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  ## About Us
105
 
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  [AUEB's Natural Language Processing Group](http://nlp.cs.aueb.gr) develops algorithms, models, and systems that allow computers to process and generate natural language texts.
 
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  | --------------------------------------------------- | ------------ |
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  | **BERT-BASE-UNCASED** | increased (0.221), were (0.131), are (0.103), rose (0.075), of (0.058)
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  | **SEC-BERT-BASE** | increased (0.678), decreased (0.282), declined (0.017), grew (0.016), rose (0.004)
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+ | **SEC-BERT-NUM** | increased (0.753), decreased (0.211), grew (0.019), declined (0.010), rose (0.006)
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+ | **SEC-BERT-SHAPE** | increased (0.747), decreased (0.214), grew (0.021), declined (0.013), rose (0.002)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ | Sample | Masked Token |
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+ | --------------------------------------------------- | ------------ |
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+ | Total net sales decreased 2% or $5.4 [MASK] during 2019 compared to 2018. | billion
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+
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+ | Model | Predictions (Probability) |
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+ | --------------------------------------------------- | ------------ |
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+ | **BERT-BASE-UNCASED** | billion (0.841), million (0.097), trillion (0.028), ##m (0.015), ##bn (0.006)
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+ | **SEC-BERT-BASE** | million (0.972), billion (0.028), millions (0.000), ##million (0.000), m (0.000)
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+ | **SEC-BERT-NUM** | million (0.974), billion (0.012), , (0.010), thousand (0.003), m (0.000)
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+ | **SEC-BERT-SHAPE** | million (0.978), billion (0.021), % (0.000), , (0.000), millions (0.000)
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+
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+
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+ | Sample | Masked Token |
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+ | --------------------------------------------------- | ------------ |
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+ | Total net sales decreased [MASK]% or $5.4 billion during 2019 compared to 2018. | 2
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+
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+ | Model | Predictions (Probability) |
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+ | --------------------------------------------------- | ------------ |
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+ | **BERT-BASE-UNCASED** | 20 (0.031), 10 (0.030), 6 (0.029), 4 (0.027), 30 (0.027)
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+ | **SEC-BERT-BASE** | 13 (0.045), 12 (0.040), 11 (0.040), 14 (0.035), 10 (0.035)
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+ | **SEC-BERT-NUM** | [NUM] (1.000), one (0.000), five (0.000), three (0.000), seven (0.000)
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+ | **SEC-BERT-SHAPE** | [XX] (0.316), [XX.X] (0.253), [X.X] (0.237), [X] (0.188), [X.XX] (0.002)
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+
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+
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+ | Sample | Masked Token |
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+ | --------------------------------------------------- | ------------ |
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+ | Total net sales decreased 2[MASK] or $5.4 billion during 2019 compared to 2018. | %
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+
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+ | Model | Predictions (Probability) |
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+ | --------------------------------------------------- | ------------ |
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+ | **BERT-BASE-UNCASED** | % (0.795), percent (0.174), ##fold (0.009), billion (0.004), times (0.004)
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+ | **SEC-BERT-BASE** | % (0.924), percent (0.076), points (0.000), , (0.000), times (0.000)
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+ | **SEC-BERT-NUM** | % (0.882), percent (0.118), million (0.000), units (0.000), bps (0.000)
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+ | **SEC-BERT-SHAPE** | % (0.961), percent (0.039), bps (0.000), , (0.000), bcf (0.000)
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+
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+
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+ | Sample | Masked Token |
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+ | --------------------------------------------------- | ------------ |
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+ | Total net sales decreased 2% or $[MASK] billion during 2019 compared to 2018. | 5.4
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+
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+ | Model | Predictions (Probability) |
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+ | --------------------------------------------------- | ------------ |
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+ | **BERT-BASE-UNCASED** | 1 (0.074), 4 (0.045), 3 (0.044), 2 (0.037), 5 (0.034)
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+ | **SEC-BERT-BASE** | 1 (0.218), 2 (0.136), 3 (0.078), 4 (0.066), 5 (0.048)
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+ | **SEC-BERT-NUM** | [NUM] (1.000), l (0.000), 1 (0.000), - (0.000), 30 (0.000)
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+ | **SEC-BERT-SHAPE** | [X.X] (0.787), [X.XX] (0.095), [XX.X] (0.049), [X.XXX] (0.046), [X] (0.013)
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+
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+
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+ | Sample | Masked Token |
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+ | --------------------------------------------------- | ------------ |
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+ | Total net sales decreased 2% or $5.4 billion during [MASK] compared to 2018. | 2019
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+
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+ | Model | Predictions (Probability) |
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+ | --------------------------------------------------- | ------------ |
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+ | **BERT-BASE-UNCASED** | 2017 (0.485), 2018 (0.169), 2016 (0.164), 2015 (0.070), 2014 (0.022)
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+ | **SEC-BERT-BASE** | 2019 (0.990), 2017 (0.007), 2018 (0.003), 2020 (0.000), 2015 (0.000)
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+ | **SEC-BERT-NUM** | [NUM] (1.000), as (0.000), fiscal (0.000), year (0.000), when (0.000)
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+ | **SEC-BERT-SHAPE** | [XXXX] (1.000), as (0.000), year (0.000), periods (0.000), , (0.000)
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+
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+
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+ | Sample | Masked Token |
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+ | --------------------------------------------------- | ------------ |
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+ | Total net sales decreased 2% or $5.4 billion during 2019 compared to [MASK]. | 2018
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+
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+ | Model | Predictions (Probability) |
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+ | --------------------------------------------------- | ------------ |
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+ | **BERT-BASE-UNCASED** | 2017 (0.100), 2016 (0.097), above (0.054), inflation (0.050), previously (0.037)
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+ | **SEC-BERT-BASE** | 2018 (0.999), 2019 (0.000), 2017 (0.000), 2016 (0.000), 2014 (0.000)
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+ | **SEC-BERT-NUM** | [NUM] (1.000), year (0.000), last (0.000), sales (0.000), fiscal (0.000)
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+ | **SEC-BERT-SHAPE** | [XXXX] (1.000), year (0.000), sales (0.000), prior (0.000), years (0.000)
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+
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+
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+ | Sample | Masked Token |
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+ | --------------------------------------------------- | ------------ |
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+ | During 2019, the Company [MASK] $67.1 billion of its common stock and paid dividend equivalents of $14.1 billion. | repurchased
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+
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+ | Model | Predictions (Probability) |
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+ | --------------------------------------------------- | ------------ |
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+ | **BERT-BASE-UNCASED** | held (0.229), sold (0.192), acquired (0.172), owned (0.052), traded (0.033)
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+ | **SEC-BERT-BASE** | repurchased (0.913), issued (0.036), purchased (0.029), redeemed (0.010), sold (0.003)
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+ | **SEC-BERT-NUM** | repurchased (0.917), purchased (0.054), reacquired (0.013), issued (0.005), acquired (0.003)
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+ | **SEC-BERT-SHAPE** | repurchased (0.902), purchased (0.068), issued (0.010), reacquired (0.008), redeemed (0.006)
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+
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+
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+ | Sample | Masked Token |
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+ | --------------------------------------------------- | ------------ |
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+ | During 2019, the Company repurchased $67.1 billion of its common [MASK] and paid dividend equivalents of $14.1 billion. | stock
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+
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+ | Model | Predictions (Probability) |
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+ | --------------------------------------------------- | ------------ |
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+ | **BERT-BASE-UNCASED** | stock (0.835), assets (0.039), equity (0.025), debt (0.021), bonds (0.017)
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+ | **SEC-BERT-BASE** | stock (0.857), shares (0.135), equity (0.004), units (0.002), securities (0.000)
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+ | **SEC-BERT-NUM** | stock (0.842), shares (0.157), equity (0.000), securities (0.000), units (0.000)
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+ | **SEC-BERT-SHAPE** | stock (0.888), shares (0.109), equity (0.001), securities (0.001), stocks (0.000)
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+
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+
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+ | Sample | Masked Token |
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+ | --------------------------------------------------- | ------------ |
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+ | During 2019, the Company repurchased $67.1 billion of its common stock and paid [MASK] equivalents of $14.1 billion. | dividend
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+
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+ | Model | Predictions (Probability) |
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+ | --------------------------------------------------- | ------------ |
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+ | **BERT-BASE-UNCASED** | cash (0.276), net (0.128), annual (0.083), the (0.040), debt (0.027)
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+ | **SEC-BERT-BASE** | dividend (0.890), cash (0.018), dividends (0.016), share (0.013), tax (0.010)
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+ | **SEC-BERT-NUM** | dividend (0.735), cash (0.115), share (0.087), tax (0.025), stock (0.013)
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+ | **SEC-BERT-SHAPE** | dividend (0.655), cash (0.248), dividends (0.042), share (0.019), out (0.003)
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+
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+
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+ | Sample | Masked Token |
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+ | --------------------------------------------------- | ------------ |
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+ | During 2019, the Company repurchased $67.1 billion of its common stock and paid dividend [MASK] of $14.1 billion. | equivalents
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+
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+ | Model | Predictions (Probability) |
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+ | --------------------------------------------------- | ------------ |
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+ | **BERT-BASE-UNCASED** | revenue (0.085), earnings (0.078), rates (0.065), amounts (0.064), proceeds (0.062)
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+ | **SEC-BERT-BASE** | payments (0.790), distributions (0.087), equivalents (0.068), cash (0.013), amounts (0.004)
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+ | **SEC-BERT-NUM** | payments (0.845), equivalents (0.097), distributions (0.024), increases (0.005), dividends (0.004)
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+ | **SEC-BERT-SHAPE** | payments (0.784), equivalents (0.093), distributions (0.043), dividends (0.015), requirements (0.009)
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+
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  ## About Us
185
 
186
  [AUEB's Natural Language Processing Group](http://nlp.cs.aueb.gr) develops algorithms, models, and systems that allow computers to process and generate natural language texts.