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bart-cnndm

baek26 / bart-cnndm

Run on huggingface.co
huggingface.co
Total runs: 11
24-hour runs: 0
7-day runs: -1
30-day runs: 5
Model's Last Updated: April 22 2024
text-generation

Introduction of bart-cnndm

Model Details of bart-cnndm

cnn_dailymail_8824_bart-base

This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9201
  • Rouge1: 0.2472
  • Rouge2: 0.1256
  • Rougel: 0.2063
  • Rougelsum: 0.2331
  • Gen Len: 20.0
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: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 10
Training results
Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
1.2077 0.11 500 1.0668 0.2378 0.1128 0.1955 0.2228 20.0
1.1503 0.22 1000 1.0418 0.2376 0.1145 0.1964 0.223 20.0
1.1191 0.33 1500 1.0109 0.2409 0.1187 0.1995 0.2268 20.0
1.0828 0.45 2000 1.0048 0.2408 0.1192 0.2004 0.227 20.0
1.0546 0.56 2500 0.9911 0.2417 0.1206 0.2008 0.2278 20.0
1.0537 0.67 3000 0.9891 0.2418 0.1201 0.2014 0.2277 20.0
1.0643 0.78 3500 0.9895 0.2396 0.1194 0.1997 0.2259 20.0
1.0375 0.89 4000 0.9775 0.2434 0.122 0.2025 0.2293 20.0
1.013 1.0 4500 0.9728 0.244 0.1218 0.2029 0.2298 20.0
1.0247 1.11 5000 0.9705 0.243 0.1206 0.2019 0.2287 20.0
1.0374 1.23 5500 0.9642 0.2432 0.1217 0.2022 0.2292 20.0
1.0084 1.34 6000 0.9609 0.2437 0.1235 0.204 0.2299 20.0
1.0195 1.45 6500 0.9603 0.243 0.1221 0.2029 0.2291 20.0
0.9642 1.56 7000 0.9559 0.2438 0.1228 0.2035 0.2301 20.0
0.9903 1.67 7500 0.9540 0.243 0.1225 0.2029 0.2293 20.0
0.976 1.78 8000 0.9518 0.2434 0.1224 0.2025 0.2297 19.9997
1.0101 1.89 8500 0.9460 0.2452 0.1235 0.2042 0.231 20.0
0.9711 2.01 9000 0.9446 0.2431 0.1226 0.2032 0.2295 19.9995
0.9137 2.12 9500 0.9463 0.2459 0.1239 0.205 0.2318 20.0
0.9631 2.23 10000 0.9410 0.2451 0.1234 0.2043 0.2309 19.9999
0.9309 2.34 10500 0.9399 0.2446 0.1236 0.2042 0.2308 19.9991
0.9653 2.45 11000 0.9363 0.2444 0.1233 0.2039 0.2308 19.9999
0.9338 2.56 11500 0.9413 0.2439 0.1224 0.2028 0.2294 20.0
0.9373 2.67 12000 0.9334 0.245 0.1241 0.2047 0.2312 19.9996
0.9661 2.79 12500 0.9334 0.2456 0.1241 0.2051 0.2318 19.9999
0.9446 2.9 13000 0.9340 0.2447 0.1239 0.2045 0.2309 19.9999
0.9109 3.01 13500 0.9340 0.2445 0.1234 0.2041 0.2308 19.9999
0.8955 3.12 14000 0.9357 0.2459 0.1249 0.2055 0.2318 20.0
0.9163 3.23 14500 0.9319 0.2461 0.1239 0.205 0.2319 20.0
0.9059 3.34 15000 0.9320 0.2446 0.124 0.2044 0.2309 19.9997
0.8893 3.46 15500 0.9288 0.2462 0.1247 0.2053 0.2322 19.9999
0.8963 3.57 16000 0.9301 0.2441 0.124 0.2043 0.2306 20.0
0.8924 3.68 16500 0.9295 0.2431 0.1236 0.2038 0.2296 19.9997
0.8832 3.79 17000 0.9267 0.2457 0.1237 0.2049 0.2316 19.9999
0.8874 3.9 17500 0.9263 0.2458 0.125 0.2054 0.232 20.0
0.8464 4.01 18000 0.9272 0.2446 0.1234 0.2039 0.2305 20.0
0.8391 4.12 18500 0.9253 0.2453 0.1245 0.205 0.2313 20.0
0.8602 4.24 19000 0.9273 0.2464 0.1248 0.2055 0.2322 19.9997
0.8674 4.35 19500 0.9260 0.2449 0.1242 0.2047 0.2309 20.0
0.8634 4.46 20000 0.9261 0.2462 0.1248 0.2053 0.2322 20.0
0.8522 4.57 20500 0.9259 0.2456 0.1242 0.2052 0.2316 20.0
0.8532 4.68 21000 0.9256 0.2452 0.1242 0.2049 0.2315 20.0
0.8608 4.79 21500 0.9218 0.2446 0.1242 0.2049 0.2309 19.9997
0.8649 4.9 22000 0.9239 0.2461 0.1243 0.2047 0.2317 19.9997
0.8329 5.02 22500 0.9260 0.2456 0.1248 0.2052 0.2315 19.9999
0.8475 5.13 23000 0.9247 0.2449 0.1241 0.2045 0.2309 20.0
0.8595 5.24 23500 0.9246 0.2443 0.1239 0.2044 0.2306 20.0
0.8707 5.35 24000 0.9228 0.2458 0.1246 0.2054 0.2318 19.9997
0.8565 5.46 24500 0.9243 0.245 0.1241 0.2047 0.231 20.0
0.848 5.57 25000 0.9232 0.2464 0.1256 0.206 0.2324 20.0
0.8251 5.68 25500 0.9212 0.2465 0.1253 0.2057 0.2327 20.0
0.8352 5.8 26000 0.9203 0.245 0.1242 0.2043 0.2309 19.9996
0.837 5.91 26500 0.9178 0.2464 0.1247 0.2055 0.2321 19.9999
0.8233 6.02 27000 0.9204 0.2456 0.1247 0.2052 0.2318 20.0
0.8169 6.13 27500 0.9246 0.2454 0.1242 0.205 0.2314 20.0
0.8351 6.24 28000 0.9194 0.2453 0.1248 0.2052 0.2312 20.0
0.8275 6.35 28500 0.9221 0.2468 0.1255 0.2062 0.2329 19.9999
0.818 6.46 29000 0.9244 0.2456 0.1243 0.205 0.2316 20.0
0.8262 6.58 29500 0.9194 0.2471 0.1256 0.2064 0.233 20.0
0.8138 6.69 30000 0.9225 0.2469 0.1257 0.2062 0.233 20.0
0.8476 6.8 30500 0.9188 0.2467 0.1254 0.2059 0.2328 20.0
0.8376 6.91 31000 0.9216 0.2473 0.1255 0.2064 0.2331 20.0
0.7947 7.02 31500 0.9218 0.2471 0.1256 0.2061 0.2329 19.9999
0.7937 7.13 32000 0.9241 0.2465 0.1249 0.2057 0.2324 19.9996
0.8194 7.24 32500 0.9230 0.2471 0.1259 0.2063 0.2329 20.0
0.8122 7.36 33000 0.9204 0.2458 0.125 0.2055 0.232 19.9996
0.7676 7.47 33500 0.9232 0.2468 0.1253 0.206 0.2327 20.0
0.7772 7.58 34000 0.9226 0.2463 0.1251 0.2057 0.2323 20.0
0.809 7.69 34500 0.9197 0.2469 0.1255 0.2061 0.2329 19.9997
0.7839 7.8 35000 0.9205 0.2475 0.1261 0.2067 0.2334 19.9997
0.7936 7.91 35500 0.9186 0.2469 0.1254 0.2061 0.2327 19.9997
0.8108 8.02 36000 0.9215 0.2472 0.1253 0.206 0.2329 20.0
0.7987 8.14 36500 0.9219 0.2473 0.1254 0.2062 0.2331 19.9999
0.7881 8.25 37000 0.9213 0.2474 0.1253 0.206 0.233 20.0
0.8007 8.36 37500 0.9215 0.2474 0.1258 0.2064 0.2332 20.0
0.7789 8.47 38000 0.9226 0.2462 0.1252 0.2054 0.2321 20.0
0.8155 8.58 38500 0.9182 0.2465 0.1254 0.206 0.2325 19.9999
0.7863 8.69 39000 0.9187 0.2465 0.1252 0.2059 0.2323 19.9999
0.796 8.8 39500 0.9201 0.2469 0.1254 0.206 0.2327 19.9999
0.8003 8.92 40000 0.9197 0.2463 0.1252 0.2057 0.2323 20.0
0.803 9.03 40500 0.9206 0.2465 0.1253 0.2058 0.2323 19.9997
0.79 9.14 41000 0.9221 0.2467 0.1251 0.206 0.2326 19.9997
0.7605 9.25 41500 0.9211 0.247 0.1254 0.2059 0.2329 20.0
0.7543 9.36 42000 0.9214 0.2473 0.1258 0.2065 0.2333 19.9999
0.7959 9.47 42500 0.9203 0.2471 0.1255 0.2061 0.2332 19.9999
0.7826 9.58 43000 0.9205 0.2469 0.1256 0.206 0.2329 20.0
0.7835 9.7 43500 0.9198 0.2466 0.1252 0.2057 0.2326 20.0
0.7809 9.81 44000 0.9205 0.2469 0.1253 0.206 0.2328 20.0
0.7899 9.92 44500 0.9201 0.2472 0.1256 0.2063 0.2331 20.0
Framework versions
  • Transformers 4.38.2
  • Pytorch 2.0.0+cu117
  • Datasets 2.18.0
  • Tokenizers 0.15.2

Runs of baek26 bart-cnndm on huggingface.co

11
Total runs
0
24-hour runs
1
3-day runs
-1
7-day runs
5
30-day runs

More Information About bart-cnndm huggingface.co Model

More bart-cnndm license Visit here:

https://choosealicense.com/licenses/apache-2.0

bart-cnndm huggingface.co

bart-cnndm huggingface.co is an AI model on huggingface.co that provides bart-cnndm's model effect (), which can be used instantly with this baek26 bart-cnndm model. huggingface.co supports a free trial of the bart-cnndm model, and also provides paid use of the bart-cnndm. Support call bart-cnndm model through api, including Node.js, Python, http.

bart-cnndm huggingface.co Url

https://huggingface.co/baek26/bart-cnndm

baek26 bart-cnndm online free

bart-cnndm huggingface.co is an online trial and call api platform, which integrates bart-cnndm's modeling effects, including api services, and provides a free online trial of bart-cnndm, you can try bart-cnndm online for free by clicking the link below.

baek26 bart-cnndm online free url in huggingface.co:

https://huggingface.co/baek26/bart-cnndm

bart-cnndm install

bart-cnndm is an open source model from GitHub that offers a free installation service, and any user can find bart-cnndm on GitHub to install. At the same time, huggingface.co provides the effect of bart-cnndm install, users can directly use bart-cnndm installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

bart-cnndm install url in huggingface.co:

https://huggingface.co/baek26/bart-cnndm

Url of bart-cnndm

bart-cnndm huggingface.co Url

Provider of bart-cnndm huggingface.co

baek26
ORGANIZATIONS
huggingface.co

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