Training in progress, epoch 1, checkpoint

.gitattributes

@@ -1 +1,2 @@
 adapter_model.safetensors filter=lfs diff=lfs merge=lfs -text
+last-checkpoint/optimizer.pt filter=lfs diff=lfs merge=lfs -text

last-checkpoint/README.md

@@ -0,0 +1,207 @@
+---
+library_name: peft
+base_model: google/flan-t5-xl
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure 
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Data Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+
+
+## Training procedure
+
+
+### Framework versions
+
+
+- PEFT 0.6.1

last-checkpoint/adapter_config.json

@@ -0,0 +1,23 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "google/flan-t5-xl",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 16,
+  "lora_dropout": 0.1,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v",
+    "q"
+  ],
+  "task_type": "SEQ_2_SEQ_LM"
+}

last-checkpoint/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:51a9efff49058423a89f52ba0bade23f37e5d1dac51932dbe1e0b49279adbb0d
+size 37789864

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:706df196dbc15368292b16ce037082f5221b5baa5da969a8f82d9209666af0ab
+size 2621690

last-checkpoint/trainer_state.json

@@ -0,0 +1,518 @@
+{
+  "best_metric": 3.12583589553833,
+  "best_model_checkpoint": "dq158/coqui/checkpoint-40348",
+  "epoch": 1.0,
+  "eval_steps": 500,
+  "global_step": 40348,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.01,
+      "learning_rate": 8e-05,
+      "loss": 4.5486,
+      "step": 500
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 7.999996629129878e-05,
+      "loss": 3.9512,
+      "step": 1000
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 7.999986516525194e-05,
+      "loss": 3.7313,
+      "step": 1500
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 7.999969662202991e-05,
+      "loss": 3.6577,
+      "step": 2000
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 7.999946066191677e-05,
+      "loss": 3.5469,
+      "step": 2500
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 7.999915728531019e-05,
+      "loss": 3.7429,
+      "step": 3000
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 7.999878649272152e-05,
+      "loss": 3.5995,
+      "step": 3500
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 7.99983482847757e-05,
+      "loss": 3.4906,
+      "step": 4000
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 7.999784266221129e-05,
+      "loss": 3.6012,
+      "step": 4500
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 7.99972696258805e-05,
+      "loss": 3.4275,
+      "step": 5000
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 7.999662917674914e-05,
+      "loss": 3.5431,
+      "step": 5500
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 7.999592131589664e-05,
+      "loss": 3.4628,
+      "step": 6000
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 7.999514604451606e-05,
+      "loss": 3.5663,
+      "step": 6500
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 7.999430336391406e-05,
+      "loss": 3.4909,
+      "step": 7000
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 7.999339327551093e-05,
+      "loss": 3.4715,
+      "step": 7500
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 7.999241578084059e-05,
+      "loss": 3.4117,
+      "step": 8000
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 7.999137088155049e-05,
+      "loss": 3.5166,
+      "step": 8500
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 7.999025857940177e-05,
+      "loss": 3.4116,
+      "step": 9000
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 7.998907887626916e-05,
+      "loss": 3.4845,
+      "step": 9500
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 7.998783177414093e-05,
+      "loss": 3.5398,
+      "step": 10000
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 7.998651727511902e-05,
+      "loss": 3.4251,
+      "step": 10500
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 7.998513538141894e-05,
+      "loss": 3.4268,
+      "step": 11000
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 7.998368609536976e-05,
+      "loss": 3.4133,
+      "step": 11500
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 7.998216941941417e-05,
+      "loss": 3.4393,
+      "step": 12000
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 7.998058535610842e-05,
+      "loss": 3.3059,
+      "step": 12500
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 7.997893390812236e-05,
+      "loss": 3.3631,
+      "step": 13000
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 7.997721507823938e-05,
+      "loss": 3.391,
+      "step": 13500
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 7.997542886935647e-05,
+      "loss": 3.3573,
+      "step": 14000
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 7.997357528448417e-05,
+      "loss": 3.3698,
+      "step": 14500
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 7.997165432674656e-05,
+      "loss": 3.2463,
+      "step": 15000
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 7.996966599938132e-05,
+      "loss": 3.3657,
+      "step": 15500
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 7.996761030573961e-05,
+      "loss": 3.404,
+      "step": 16000
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 7.99654872492862e-05,
+      "loss": 3.3893,
+      "step": 16500
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 7.996329683359935e-05,
+      "loss": 3.3423,
+      "step": 17000
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 7.996103906237084e-05,
+      "loss": 3.238,
+      "step": 17500
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 7.995871393940603e-05,
+      "loss": 3.2994,
+      "step": 18000
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 7.995632146862375e-05,
+      "loss": 3.2948,
+      "step": 18500
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 7.995386165405639e-05,
+      "loss": 3.2603,
+      "step": 19000
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 7.995133449984973e-05,
+      "loss": 3.3748,
+      "step": 19500
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 7.99487400102632e-05,
+      "loss": 3.3827,
+      "step": 20000
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 7.99460781896696e-05,
+      "loss": 3.2538,
+      "step": 20500
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 7.994334904255528e-05,
+      "loss": 3.2942,
+      "step": 21000
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 7.994055257352003e-05,
+      "loss": 3.439,
+      "step": 21500
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 7.993768878727711e-05,
+      "loss": 3.2844,
+      "step": 22000
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 7.993475768865324e-05,
+      "loss": 3.4043,
+      "step": 22500
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 7.993175928258863e-05,
+      "loss": 3.2896,
+      "step": 23000
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.992869357413687e-05,
+      "loss": 3.3379,
+      "step": 23500
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.992556056846502e-05,
+      "loss": 3.3279,
+      "step": 24000
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.992236027085355e-05,
+      "loss": 3.3186,
+      "step": 24500
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 7.991909268669638e-05,
+      "loss": 3.2858,
+      "step": 25000
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 7.991575782150078e-05,
+      "loss": 3.366,
+      "step": 25500
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 7.991235568088746e-05,
+      "loss": 3.2549,
+      "step": 26000
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 7.990888627059051e-05,
+      "loss": 3.3427,
+      "step": 26500
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 7.990534959645739e-05,
+      "loss": 3.2713,
+      "step": 27000
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 7.990174566444893e-05,
+      "loss": 3.2461,
+      "step": 27500
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 7.989807448063936e-05,
+      "loss": 3.2944,
+      "step": 28000
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 7.989433605121617e-05,
+      "loss": 3.3129,
+      "step": 28500
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 7.989053038248027e-05,
+      "loss": 3.268,
+      "step": 29000
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 7.988665748084586e-05,
+      "loss": 3.3362,
+      "step": 29500
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 7.988271735284046e-05,
+      "loss": 3.2817,
+      "step": 30000
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 7.987871000510492e-05,
+      "loss": 3.359,
+      "step": 30500
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 7.987463544439334e-05,
+      "loss": 3.2771,
+      "step": 31000
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 7.987049367757314e-05,
+      "loss": 3.3784,
+      "step": 31500
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 7.9866284711625e-05,
+      "loss": 3.3053,
+      "step": 32000
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 7.986200855364284e-05,
+      "loss": 3.3062,
+      "step": 32500
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 7.985766521083388e-05,
+      "loss": 3.2485,
+      "step": 33000
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 7.985325469051851e-05,
+      "loss": 3.2577,
+      "step": 33500
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 7.98487770001304e-05,
+      "loss": 3.3197,
+      "step": 34000
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 7.984423214721638e-05,
+      "loss": 3.206,
+      "step": 34500
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 7.983962013943654e-05,
+      "loss": 3.3556,
+      "step": 35000
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.983494098456408e-05,
+      "loss": 3.3232,
+      "step": 35500
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 7.983019469048544e-05,
+      "loss": 3.2438,
+      "step": 36000
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 7.982538126520019e-05,
+      "loss": 3.3,
+      "step": 36500
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 7.982050071682102e-05,
+      "loss": 3.3622,
+      "step": 37000
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 7.981555305357381e-05,
+      "loss": 3.2414,
+      "step": 37500
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 7.981053828379751e-05,
+      "loss": 3.3854,
+      "step": 38000
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 7.980545641594418e-05,
+      "loss": 3.2529,
+      "step": 38500
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 7.9800307458579e-05,
+      "loss": 3.3274,
+      "step": 39000
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 7.979509142038018e-05,
+      "loss": 3.2614,
+      "step": 39500
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 7.978980831013903e-05,
+      "loss": 3.3069,
+      "step": 40000
+    },
+    {
+      "epoch": 1.0,
+      "eval_bleu": 1.0,
+      "eval_brevity_penalty": 1.0,
+      "eval_length_ratio": 1.0,
+      "eval_loss": 3.12583589553833,
+      "eval_precisions": [
+        1.0,
+        1.0,
+        1.0,
+        1.0
+      ],
+      "eval_reference_length": 4591104,
+      "eval_runtime": 8030.2897,
+      "eval_samples_per_second": 1.117,
+      "eval_steps_per_second": 0.558,
+      "eval_translation_length": 4591104,
+      "step": 40348
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 1210440,
+  "num_train_epochs": 30,
+  "save_steps": 1000,
+  "total_flos": 6.92468560995287e+17,
+  "trial_name": null,
+  "trial_params": null
+}